Find the skill for your next task.

Selection brief

# Cursor Rules Strict TypeScript Architect (cursor-rules-architect)
Prevents Cursor from taking lazy shortcuts: forbids type assertions (as any), enforces readonly properties on domain models, and checks for unused imports.

## Use when
- Enforce TypeScript and server-boundary rules across a project.

## Required inputs
- TypeScript repository
- Framework and validation requirements

## Prerequisites
- Access to the compiler and relevant project checks.

## Expected outputs
- Reusable components and explicit input validation

Source: https://agenttaste.dev/skills/cursor-rules-architect#instructions
Full SKILL.md: https://agenttaste.dev/skills/cursor-rules-architect/SKILL.md

Selection brief

# React best practices (vercel-react-best-practices)
Vercel Engineering’s React performance skill includes a companion rule collection. Install the package so the referenced rules remain available.

## Use when
- Write, review or refactor React or Next.js code.
- Investigate unnecessary rendering or slow data loading.

## Required inputs
- React or Next.js repository
- Performance symptoms or implementation task

## Prerequisites
- React or Next.js project.
- Install the complete upstream skill directory, including its rules.

## Expected outputs
- Prioritized performance changes
- Validation against the relevant rules

Source: https://github.com/vercel-labs/agent-skills/blob/063bee94c3f4df8453406c830b0a7df0f2860278/skills/react-best-practices/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/vercel-react-best-practices/SKILL.md

Selection brief

# Web app testing with Playwright (anthropic-webapp-testing)
Anthropic’s webapp-testing toolkit uses Python Playwright and includes a server-lifecycle helper, examples and browser-log workflows for testing local applications.

## Use when
- Verify a local web app’s interactions or reproduce a frontend bug.

## Required inputs
- Local application URL or startup commands
- User journeys and expected behavior

## Prerequisites
- Python with Playwright and its browser binaries installed.
- A locally runnable application; install the entire skill directory to retain scripts and examples.

## Expected outputs
- Browser test scripts
- Screenshots, logs and observed test results

Source: https://github.com/anthropics/skills/blob/dbd4588f9e1033efb41dad4bef2f7947c8993d44/skills/webapp-testing/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/anthropic-webapp-testing/SKILL.md

Selection brief

# MCP server builder (anthropic-mcp-builder)
Anthropic’s MCP development guide covers protocol research, Python or TypeScript implementation, tool design, testing and task-based evaluations, with companion references and scripts.

## Use when
- Expose an external API or service through an MCP server.

## Required inputs
- Service API documentation and allowed operations
- Target MCP client, language and authentication requirements

## Prerequisites
- Python or Node.js development environment and the appropriate MCP SDK.
- Access to current protocol documentation; use test credentials for authenticated integrations.

## Expected outputs
- MCP server implementation
- Tool tests and evaluation questions

Source: https://github.com/anthropics/skills/blob/dbd4588f9e1033efb41dad4bef2f7947c8993d44/skills/mcp-builder/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/anthropic-mcp-builder/SKILL.md

Selection brief

# Skill authoring and evaluation (anthropic-skill-creator)
Anthropic’s skill-creator workflow iterates on skill instructions, trigger descriptions and evaluations. The bundled evaluation workflow uses Claude tooling; install the scripts and reference material together.

## Use when
- Create a reusable agent skill or evaluate an existing skill.

## Required inputs
- Task definition and representative prompts
- Existing skill, expected outputs and evaluation criteria

## Prerequisites
- Claude Code plus Python and the bundled evaluation scripts for the documented evaluation workflow.
- Model calls used by evaluations may incur usage charges.

## Expected outputs
- Versioned SKILL.md package
- Evaluation results and revised trigger description

Source: https://github.com/anthropics/skills/blob/dbd4588f9e1033efb41dad4bef2f7947c8993d44/skills/skill-creator/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/anthropic-skill-creator/SKILL.md

Selection brief

# React composition patterns (vercel-composition-patterns)
Vercel’s composition guide covers compound components, state ownership, context and React 19 APIs. Its companion rule files provide concrete component architecture examples.

## Use when
- Refactor a component API with many boolean props.
- Design a reusable React component library.

## Required inputs
- React components and their consumers
- Required variants, state ownership and composition constraints

## Prerequisites
- React project source and access to all affected consumers.
- Install the complete upstream rule directory.

## Expected outputs
- Composable component APIs
- Refactored consumers and relevant checks

Source: https://github.com/vercel-labs/agent-skills/blob/063bee94c3f4df8453406c830b0a7df0f2860278/skills/composition-patterns/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/vercel-composition-patterns/SKILL.md

Selection brief

# React Native performance practices (vercel-react-native-skills)
Vercel’s React Native collection organizes performance and implementation rules for Expo and React Native, including list virtualization, animation, navigation and monorepo dependencies.

## Use when
- Build or review a React Native or Expo app.
- Investigate slow scrolling, rendering or mobile animations.

## Required inputs
- React Native repository and target devices
- Performance symptoms or implementation task

## Prerequisites
- React Native or Expo development environment.
- A simulator or physical device for runtime checks; retain the companion rules.

## Expected outputs
- Prioritized mobile implementation changes
- Device validation checklist

Source: https://github.com/vercel-labs/agent-skills/blob/063bee94c3f4df8453406c830b0a7df0f2860278/skills/react-native-skills/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/vercel-react-native-skills/SKILL.md

Selection brief

# Postgres performance and security (supabase-postgres-best-practices)
Supabase’s Postgres guide supplies rules and SQL examples for query performance, connections, security, schema design and locking. It applies to Postgres beyond Supabase-hosted projects.

## Use when
- Write or review Postgres queries, migrations or security policies.
- Diagnose slow queries or connection exhaustion.

## Required inputs
- Schema, queries and query plans
- Postgres version and workload constraints

## Prerequisites
- A Postgres project and representative queries or schema.
- A test database for executing changes; keep the referenced rule collection.

## Expected outputs
- SQL or schema recommendations
- Relevant performance and access-control checks

Source: https://github.com/supabase/agent-skills/blob/c9be0e931b7930f7d02126d04774d904c381e7d7/skills/supabase-postgres-best-practices/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/supabase-postgres-best-practices/SKILL.md

Selection brief

# Cloudflare Agents SDK (cloudflare-agents-sdk)
Cloudflare’s Agents SDK skill routes implementation work to current official documentation and companion references for agent lifecycle, durable state, callable methods, scheduling and chat.

## Use when
- Build or review an application using Cloudflare’s agents package.

## Required inputs
- Workers repository and installed agents version
- State, scheduling and communication requirements

## Prerequisites
- Cloudflare Workers project with the agents package and current generated types.
- Network access for documentation; Cloudflare account access is required for deployment.

## Expected outputs
- Agent implementation and bindings
- Runtime and integration validation plan

Source: https://github.com/cloudflare/skills/blob/86505e44f87d801aa1864a3c4109e9a8ae5c409f/skills/agents-sdk/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/cloudflare-agents-sdk/SKILL.md

Selection brief

# Cloudflare Durable Objects (cloudflare-durable-objects)
Cloudflare’s Durable Objects guide covers stateful coordination, authorization, stub creation, storage, alarms and tests, with current platform documentation as the API authority.

## Use when
- Implement chat rooms, coordinated sessions or other stateful Workers features.

## Required inputs
- Workers repository and coordination requirements
- Storage, identity and concurrency constraints

## Prerequisites
- Workers project with Durable Object bindings and migration configuration.
- Local runtime or a permitted Cloudflare test environment for verification.

## Expected outputs
- Durable Object implementation and configuration
- Storage, authorization and lifecycle tests

Source: https://github.com/cloudflare/skills/blob/86505e44f87d801aa1864a3c4109e9a8ae5c409f/skills/durable-objects/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/cloudflare-durable-objects/SKILL.md

Selection brief

# Wrangler CLI workflows (cloudflare-wrangler)
Cloudflare’s Wrangler skill inspects existing Wrangler configuration, retrieves current command documentation and distinguishes local resources from remote changes before applying operations.

## Use when
- Run or debug Wrangler in an existing configured project.

## Required inputs
- wrangler.jsonc, wrangler.json or wrangler.toml
- Installed CLI version and target environment

## Prerequisites
- An existing Wrangler-configured project and its local CLI dependency.
- Cloudflare credentials and explicit target selection for remote operations; new cf-based projects use Cloudflare’s separate cf-cli skill.

## Expected outputs
- Verified CLI commands or configuration changes
- Validation of the intended Worker and resources

Source: https://github.com/cloudflare/skills/blob/86505e44f87d801aa1864a3c4109e9a8ae5c409f/skills/wrangler/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/cloudflare-wrangler/SKILL.md

Selection brief

# Workers production practices (cloudflare-workers-best-practices)
Cloudflare’s Workers guide checks production code and configuration against installed versions, generated types and current documentation, including secrets, logs, streaming and runtime anti-patterns.

## Use when
- Write or review a Cloudflare Worker before deployment.

## Required inputs
- Worker source and configuration
- Runtime versions and production requirements

## Prerequisites
- Workers repository with its installed toolchain and generated binding types.
- Network access to current Cloudflare documentation.

## Expected outputs
- Specific code and configuration changes
- Type, build and runtime checks

Source: https://github.com/cloudflare/skills/blob/86505e44f87d801aa1864a3c4109e9a8ae5c409f/skills/workers-best-practices/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/cloudflare-workers-best-practices/SKILL.md

Selection brief

# Expo Router navigation (expo-router-navigation)
Expo’s routing skill covers route organization, dynamic segments, native stacks and tabs, headers, link previews and modal presentation, with SDK-specific reference files.

## Use when
- Implement or restructure navigation in an Expo Router app.

## Required inputs
- Expo repository and SDK version
- Route map and navigation behavior

## Prerequisites
- Expo Router project and an appropriate simulator or device.
- Keep companion references and check API support against the installed SDK.

## Expected outputs
- Route structure and navigation components
- Navigation and deep-link checks

Source: https://github.com/expo/skills/blob/7ddc1f5796996e5c7efe2fc3fa9168eb24e8dac1/plugins/expo/skills/expo-router/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/expo-router-navigation/SKILL.md

Selection brief

# Expo data fetching and offline states (expo-data-fetching)
Expo’s networking guide covers fetch, React Query, SWR and router data loaders, including request debugging, caching and explicit screen states.

## Use when
- Implement or debug network requests in an Expo application.

## Required inputs
- Expo screen or data layer
- API contract, authentication and caching requirements

## Prerequisites
- Expo application and an accessible API or test fixture.
- Check library and router-loader availability for the project’s installed versions.

## Expected outputs
- Data-fetching implementation
- Explicit screen states and request validation

Source: https://github.com/expo/skills/blob/7ddc1f5796996e5c7efe2fc3fa9168eb24e8dac1/plugins/expo/skills/expo-data-fetching/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/expo-data-fetching/SKILL.md

Selection brief

# Expo SDK upgrades (expo-sdk-upgrades)
Expo’s upgrade skill follows the current SDK migration process, dependency checks and native changes, with references for React, navigation, media packages and the New Architecture.

## Use when
- Upgrade an Expo SDK or investigate upgrade-related build failures.

## Required inputs
- Current SDK, dependency versions and native configuration
- Target SDK and observed build errors

## Prerequisites
- Expo repository, package manager and a reproducible development build.
- Native toolchains or EAS access are needed for the corresponding build checks.

## Expected outputs
- Updated dependencies and migration changes
- Post-upgrade build and device checks

Source: https://github.com/expo/skills/blob/7ddc1f5796996e5c7efe2fc3fa9168eb24e8dac1/plugins/expo/skills/expo-upgrade/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/expo-sdk-upgrades/SKILL.md

Selection brief

# Expo EAS CI/CD workflows (expo-eas-workflows)
Expo’s EAS workflow skill covers workflow files, expressions and validation against current service documentation. The instructions are free; executing jobs uses EAS services and may incur charges.

## Use when
- Create or review CI/CD automation for an Expo project.

## Required inputs
- Expo project and eas.json
- Build, submission or deployment pipeline requirements

## Prerequisites
- Expo account, EAS configuration and the documented CLI tooling.
- EAS plan limits and usage charges apply; store submission also requires the relevant developer accounts.

## Expected outputs
- .eas/workflows YAML configuration
- Validation results and operational prerequisites

Source: https://github.com/expo/skills/blob/7ddc1f5796996e5c7efe2fc3fa9168eb24e8dac1/plugins/expo/skills/eas-workflows/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/expo-eas-workflows/SKILL.md

Selection brief

# Superpowers brainstorming (superpowers-brainstorming)
Jesse Vincent’s Superpowers brainstorming workflow uses focused questions and design discussion to turn an uncertain request into an agreed direction before implementation.

## Use when
- Explore a feature or substantial change whose requirements are still uncertain.

## Required inputs
- Initial idea and intended users
- Repository context, constraints and success criteria

## Prerequisites
- Access to the relevant project and a user who can settle product decisions.
- Install the complete skill directory; the optional visual companion uses a local Node.js server.

## Expected outputs
- Clarified requirements and design decisions
- An agreed design ready for implementation planning

Source: https://github.com/obra/superpowers/blob/bb92a77741419a4ab5f06e711a283343f1ada0c3/skills/brainstorming/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/superpowers-brainstorming/SKILL.md

## Popularity evidence
- 302,164 GitHub repo stars — obra/superpowers; checked 2026-10-20. Source: https://github.com/obra/superpowers/stargazers
- 398,168 skill installs (all time) — obra/superpowers / brainstorming · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/obra/superpowers/brainstorming
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Superpowers systematic debugging (superpowers-systematic-debugging)
Superpowers’ debugging discipline separates root-cause investigation, pattern analysis, hypothesis testing and implementation, with companion debugging techniques in the original directory.

## Use when
- Diagnose a failing test, build, integration or production behavior.

## Required inputs
- Failure symptoms and reproduction steps
- Relevant code, logs and execution environment

## Prerequisites
- A reproducible failure or access to an environment that exhibits it.
- Retain the companion debugging references; do not share credentials in captured logs.

## Expected outputs
- Evidence-backed root cause
- Targeted fix and regression verification

Source: https://github.com/obra/superpowers/blob/bb92a77741419a4ab5f06e711a283343f1ada0c3/skills/systematic-debugging/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/superpowers-systematic-debugging/SKILL.md

## Popularity evidence
- 302,164 GitHub repo stars — obra/superpowers; checked 2026-10-20. Source: https://github.com/obra/superpowers/stargazers
- 300,287 skill installs (all time) — obra/superpowers / systematic-debugging · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/obra/superpowers/systematic-debugging
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Superpowers implementation plans (superpowers-writing-plans)
Superpowers’ planning skill writes a handoff for an engineer who has not seen the project, specifying interfaces, files, test commands and task boundaries from an already agreed design.

## Use when
- Plan a multi-step implementation after requirements have been agreed.

## Required inputs
- Approved specification or design
- Repository structure and existing test commands

## Prerequisites
- An agreed specification and access to the codebase.
- Install the corresponding Superpowers execution skills separately for the documented execution handoff.

## Expected outputs
- Versioned implementation plan
- Task-level acceptance and verification steps

Source: https://github.com/obra/superpowers/blob/bb92a77741419a4ab5f06e711a283343f1ada0c3/skills/writing-plans/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/superpowers-writing-plans/SKILL.md

## Popularity evidence
- 302,164 GitHub repo stars — obra/superpowers; checked 2026-10-20. Source: https://github.com/obra/superpowers/stargazers
- 278,266 skill installs (all time) — obra/superpowers / writing-plans · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/obra/superpowers/writing-plans
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Superpowers test-driven development (superpowers-test-driven-development)
Superpowers’ TDD skill follows a red-green-refactor cycle, explicitly checking that a new test fails for the intended reason before implementing the behavior.

## Use when
- Implement a feature or bug fix with a test-first workflow.

## Required inputs
- Behavior to implement and expected result
- Project source and a runnable test suite

## Prerequisites
- A working test runner and a testable interface for the requested behavior.
- Keep the bundled testing guidance with SKILL.md.

## Expected outputs
- Behavior-focused regression tests
- Implementation with observed red and green results

Source: https://github.com/obra/superpowers/blob/bb92a77741419a4ab5f06e711a283343f1ada0c3/skills/test-driven-development/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/superpowers-test-driven-development/SKILL.md

## Popularity evidence
- 302,164 GitHub repo stars — obra/superpowers; checked 2026-10-20. Source: https://github.com/obra/superpowers/stargazers
- 254,722 skill installs (all time) — obra/superpowers / test-driven-development · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/obra/superpowers/test-driven-development
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Superpowers completion verification (superpowers-verification)
Superpowers’ verification skill checks which command proves a claim, runs it, reads its full result and reports the result with its actual limits before declaring work complete.

## Use when
- Verify a proposed completion, fix, build or test claim.

## Required inputs
- Change or claim to verify
- Relevant acceptance criteria and validation commands

## Prerequisites
- Ability to run the commands that demonstrate the claimed behavior.
- A passing check only supports the behavior that check actually covers.

## Expected outputs
- Recorded verification results
- Accurate completion status and remaining limitations

Source: https://github.com/obra/superpowers/blob/bb92a77741419a4ab5f06e711a283343f1ada0c3/skills/verification-before-completion/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/superpowers-verification/SKILL.md

## Popularity evidence
- 302,164 GitHub repo stars — obra/superpowers; checked 2026-10-20. Source: https://github.com/obra/superpowers/stargazers
- 246,086 skill installs (all time) — obra/superpowers / verification-before-completion · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/obra/superpowers/verification-before-completion
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Matt Pocock decision interview (matt-pocock-grilling)
Matt Pocock’s grilling skill models an idea as a tree of dependent decisions, asks the currently answerable questions and revisits the remaining branches as the user responds.

## Use when
- Stress-test an implementation plan, design or product decision.

## Required inputs
- Plan or idea to examine
- Known constraints and decision owners

## Prerequisites
- A user available to make the decisions.
- The documented environment-research workflow uses an agent client with subagent dispatch.

## Expected outputs
- Resolved decision tree
- Shared understanding of the proposed work

Source: https://github.com/mattpocock/skills/blob/5beb35b040e3de97e54fa9e386d7e42d15c295c2/skills/productivity/grilling/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/matt-pocock-grilling/SKILL.md

## Popularity evidence
- 297,596 GitHub repo stars — mattpocock/skills; checked 2026-10-20. Source: https://github.com/mattpocock/skills/stargazers
- 948,515 skill installs (all time) — mattpocock/skills / grilling · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/mattpocock/skills/grilling
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Matt Pocock deep module design (matt-pocock-codebase-design)
Matt Pocock’s codebase-design reference defines modules, interfaces, test seams and adapters, then uses depth, leverage and locality to evaluate architecture and testability.

## Use when
- Design a module interface or assess a refactor’s effect on testability.

## Required inputs
- Current module and its consumers
- Behavior, dependency variation and test constraints

## Prerequisites
- Project source and representative consumers.
- Keep DEEPENING.md and DESIGN-IT-TWICE.md; the optional alternative-design exercise needs subagent support.

## Expected outputs
- Proposed interfaces and test seams
- Architecture tradeoffs grounded in callers

Source: https://github.com/mattpocock/skills/blob/5beb35b040e3de97e54fa9e386d7e42d15c295c2/skills/engineering/codebase-design/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/matt-pocock-codebase-design/SKILL.md

## Popularity evidence
- 297,596 GitHub repo stars — mattpocock/skills; checked 2026-10-20. Source: https://github.com/mattpocock/skills/stargazers
- 825,720 skill installs (all time) — mattpocock/skills / codebase-design · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/mattpocock/skills/codebase-design
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Matt Pocock behavioral TDD (matt-pocock-tdd)
Matt Pocock’s TDD reference emphasizes tests through agreed public interfaces, useful assertions, narrow mocking and one behavior slice at a time.

## Use when
- Implement a feature or fix while protecting behavior through public interfaces.

## Required inputs
- Expected behavior and public interfaces
- Project test tools and source

## Prerequisites
- A runnable test suite and agreement on which public interfaces to test.
- Install Matt Pocock’s codebase-design skill for its referenced interface and seam vocabulary.

## Expected outputs
- Behavioral tests at agreed seams
- Incremental implementation and verification

Source: https://github.com/mattpocock/skills/blob/5beb35b040e3de97e54fa9e386d7e42d15c295c2/skills/engineering/tdd/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/matt-pocock-tdd/SKILL.md

## Popularity evidence
- 297,596 GitHub repo stars — mattpocock/skills; checked 2026-10-20. Source: https://github.com/mattpocock/skills/stargazers
- 1,114,501 skill installs (all time) — mattpocock/skills / tdd · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/mattpocock/skills/tdd
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Matt Pocock domain modeling (matt-pocock-domain-modeling)
Matt Pocock’s domain-modeling skill challenges ambiguous terminology and captures domain concepts in GLOSSARY.md and scoped architecture decision records.

## Use when
- Clarify inconsistent business terms or document an evolving domain model.

## Required inputs
- Product domain and existing terminology
- Repository glossary and architecture decisions

## Prerequisites
- Access to the repository and domain knowledge from the decision owner.
- Existing glossary maps and ADRs determine where scoped decisions belong.

## Expected outputs
- Updated domain glossary
- Recorded decisions and edge-case scenarios

Source: https://github.com/mattpocock/skills/blob/5beb35b040e3de97e54fa9e386d7e42d15c295c2/skills/engineering/domain-modeling/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/matt-pocock-domain-modeling/SKILL.md

## Popularity evidence
- 297,596 GitHub repo stars — mattpocock/skills; checked 2026-10-20. Source: https://github.com/mattpocock/skills/stargazers
- 850,687 skill installs (all time) — mattpocock/skills / domain-modeling · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/mattpocock/skills/domain-modeling
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Matt Pocock bug diagnosis (matt-pocock-bug-diagnosis)
Matt Pocock’s diagnosis loop begins with a fast red-capable reproduction, then minimizes it, ranks hypotheses, instruments specific predictions and verifies the final fix.

## Use when
- Investigate a difficult bug or performance regression.

## Required inputs
- Exact reported symptom
- Code, environment and permitted diagnostic tools

## Prerequisites
- Access to an environment or fixture that can reproduce the reported symptom.
- Redact secrets in commands, logs and captured artifacts; retain companion diagnostic scripts.

## Expected outputs
- Minimal reproduction and root cause
- Fix, regression evidence and diagnostic cleanup

Source: https://github.com/mattpocock/skills/blob/5beb35b040e3de97e54fa9e386d7e42d15c295c2/skills/engineering/diagnosing-bugs/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/matt-pocock-bug-diagnosis/SKILL.md

## Popularity evidence
- 297,596 GitHub repo stars — mattpocock/skills; checked 2026-10-20. Source: https://github.com/mattpocock/skills/stargazers
- 810,548 skill installs (all time) — mattpocock/skills / diagnosing-bugs · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/mattpocock/skills/diagnosing-bugs
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Addy Osmani code quality review (addy-osmani-code-review)
Addy Osmani’s code-review skill evaluates a change across five quality dimensions and reports actionable findings in the context of the project’s conventions.

## Use when
- Review a diff, pull request or completed implementation.

## Required inputs
- Diff or commit range
- Project standards and intended behavior

## Prerequisites
- The complete diff and enough surrounding source to understand its effects.
- Repository standards and product requirements remain the review context.

## Expected outputs
- Prioritized review findings
- Quality assessment with relevant verification

Source: https://github.com/addyosmani/agent-skills/blob/aeac41d4d005999432bb7312f7ff06383a91d59d/skills/code-review-and-quality/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/addy-osmani-code-review/SKILL.md

## Popularity evidence
- 108,660 GitHub repo stars — addyosmani/agent-skills; checked 2026-10-20. Source: https://github.com/addyosmani/agent-skills/stargazers
- 67,892 skill installs (all time) — addyosmani/agent-skills / code-review-and-quality · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/addyosmani/agent-skills/code-review-and-quality
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Addy Osmani application hardening (addy-osmani-security-hardening)
Addy Osmani’s security skill covers web application trust boundaries, authentication, authorization, data handling, dependency findings and external integrations.

## Use when
- Implement or review web features that handle untrusted data or user sessions.

## Required inputs
- Relevant source and data flows
- Threat context and dependency findings

## Prerequisites
- Authorized access to the application source and a permitted test environment.
- A skill-based review does not establish compliance or replace a security assessment.

## Expected outputs
- Concrete hardening changes or findings
- Validation of affected security behavior

Source: https://github.com/addyosmani/agent-skills/blob/aeac41d4d005999432bb7312f7ff06383a91d59d/skills/security-and-hardening/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/addy-osmani-security-hardening/SKILL.md

## Popularity evidence
- 108,660 GitHub repo stars — addyosmani/agent-skills; checked 2026-10-20. Source: https://github.com/addyosmani/agent-skills/stargazers
- 64,634 skill installs (all time) — addyosmani/agent-skills / security-and-hardening · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/addyosmani/agent-skills/security-and-hardening
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Addy Osmani performance optimization (addy-osmani-performance)
Addy Osmani’s performance guide spans frontend delivery, server execution and database queries, with profiling and measured evidence before prioritizing a fix.

## Use when
- Investigate measured slowness or a known performance requirement.

## Required inputs
- Workload and performance symptoms
- Source, profiles and target performance budget

## Prerequisites
- A reproducible workload and access to the relevant profiling tools.
- Field performance data needs its own measurement source; this skill provides no live metrics.

## Expected outputs
- Evidence-backed optimization changes
- Comparable before-and-after measurements

Source: https://github.com/addyosmani/agent-skills/blob/aeac41d4d005999432bb7312f7ff06383a91d59d/skills/performance-optimization/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/addy-osmani-performance/SKILL.md

## Popularity evidence
- 108,660 GitHub repo stars — addyosmani/agent-skills; checked 2026-10-20. Source: https://github.com/addyosmani/agent-skills/stargazers
- 60,118 skill installs (all time) — addyosmani/agent-skills / performance-optimization · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/addyosmani/agent-skills/performance-optimization
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Addy Osmani documentation and ADRs (addy-osmani-documentation-adrs)
Addy Osmani’s documentation skill records architecture choices, public API changes and operational context so future maintainers can understand the reasoning behind the code.

## Use when
- Record an architectural choice or document a changed public interface.

## Required inputs
- Decision and relevant implementation
- Alternatives, constraints and existing documentation

## Prerequisites
- Accurate project facts and access to the documentation location.
- Use the repository’s existing documentation format and ownership conventions.

## Expected outputs
- Decision record or updated documentation
- Clear context, consequences and references

Source: https://github.com/addyosmani/agent-skills/blob/aeac41d4d005999432bb7312f7ff06383a91d59d/skills/documentation-and-adrs/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/addy-osmani-documentation-adrs/SKILL.md

## Popularity evidence
- 108,660 GitHub repo stars — addyosmani/agent-skills; checked 2026-10-20. Source: https://github.com/addyosmani/agent-skills/stargazers
- 58,973 skill installs (all time) — addyosmani/agent-skills / documentation-and-adrs · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/addyosmani/agent-skills/documentation-and-adrs
Adoption counts are not user ratings or guarantees of quality.

Selection brief

# Vercel agent-browser automation (vercel-agent-browser)
Vercel’s agent-browser skill is a discovery entry for the browser automation CLI. Its current stub loads the actual usage guide from the installed CLI so the workflow matches that version.

## Use when
- Automate or inspect a website in an authorized browser workflow.

## Required inputs
- Target URL and authorized task
- Browser session and any required application access

## Prerequisites
- Node.js 24 or later, the agent-browser CLI and its browser binaries.
- The pinned SKILL.md is a discovery stub: run agent-browser skills get core to load the actual workflow; follow upstream setup before use.

## Expected outputs
- Browser task results
- Relevant screenshots or observed interaction evidence

Source: https://github.com/vercel-labs/agent-browser/blob/5ee8691339a5a002e4d7454eec95250253bc7419/skills/agent-browser/SKILL.md
Full SKILL.md: https://agenttaste.dev/skills/vercel-agent-browser/SKILL.md

## Popularity evidence
- 44,278 GitHub repo stars — vercel-labs/agent-browser; checked 2026-10-20. Source: https://github.com/vercel-labs/agent-browser/stargazers
- 1,179,586 skill installs (all time) — vercel-labs/agent-browser / agent-browser · skills.sh · all time; checked 2026-10-20. Source: https://skills.sh/vercel-labs/agent-browser/agent-browser
- 7,102,587 npm package downloads — agent-browser · 2026-09-19 – 2026-10-18; checked 2026-10-20. Source: https://api.npmjs.org/downloads/point/2026-09-19:2026-10-18/agent-browser
Adoption counts are not user ratings or guarantees of quality.