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ishandutta2007/awesome-agent-skills

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Skills for coding agents ๐ŸŒŸ Star if you like it! ๐ŸŒŸ

Overview

Skills encode the workflows, quality gates, and best practices that senior engineers use when building software. These ones are packaged so AI agents follow them consistently across every phase of development. 7 slash commands that map to the development lifecycle. Each one activates the right skills automatically. Want fewer manual steps once the spec exists? generates the plan and implements every task in a single approved pass โ€” you approve the plan once, then it runs autonomously. It removes the human stepping between tasks, not the verification: every task is still test-driven and committed individually, and it pauses on failures or risky steps. Skills also activate automatically based on what you're doing โ€” designing an API triggers api-and-interface-design, building UI triggers frontend-ui-engineering, and so on. The marketplace clones repos via SSH.

README

๐Ÿš€ Awesome AI Skills

Production-grade engineering Awesome AI Skills for AI coding agents. ๐ŸŒŸ

Skills encode the workflows, quality gates, and best practices that senior engineers use when building software. These ones are packaged so AI agents follow them consistently across every phase of development.

  DEFINE          PLAN           BUILD          VERIFY         REVIEW          SHIP
 โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”
 โ”‚ Idea โ”‚ โ”€โ”€โ”€โ–ถ โ”‚ Spec โ”‚ โ”€โ”€โ”€โ–ถ โ”‚ Code โ”‚ โ”€โ”€โ”€โ–ถ โ”‚ Test โ”‚ โ”€โ”€โ”€โ–ถ โ”‚  QA  โ”‚ โ”€โ”€โ”€โ–ถ โ”‚  Go  โ”‚
 โ”‚Refineโ”‚      โ”‚  PRD โ”‚      โ”‚ Impl โ”‚      โ”‚Debug โ”‚      โ”‚ Gate โ”‚      โ”‚ Live โ”‚
 โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
  /spec          /plan          /build        /test         /review       /ship

๐Ÿ› ๏ธ Commands

7 slash commands that map to the development lifecycle. Each one activates the right skills automatically.

What youโ€™re doing Command Key principle
Define what to build /spec Spec before code
Plan how to build it /plan Small, atomic tasks
Build incrementally /build One slice at a time
Prove it works /test Tests are proof
Review before merge /review Improve code health
Simplify the code /code-simplify Clarity over cleverness
Ship to production /ship Faster is safer

Want fewer manual steps once the spec exists? /build auto generates the plan and implements every task in a single approved pass โ€” you approve the plan once, then it runs autonomously. It removes the human stepping between tasks, not the verification: every task is still test-driven and committed individually, and it pauses on failures or risky steps.

Skills also activate automatically based on what youโ€™re doing โ€” designing an API triggers api-and-interface-design, building UI triggers frontend-ui-engineering, and so on.


๐Ÿš€ Quick Start


๐Ÿ“š All 30 Skills

The commands above are entry points. The pack includes 27 skills total โ€” 26 lifecycle skills plus the using-awesome-ai-skills meta-skill. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables. You can also reference any skill directly.

Meta - Discover which skill applies

Skill What It Does Use When
using-awesome-ai-skills Maps incoming work to the right skill workflow and defines shared operating rules Starting a session or deciding which skill applies

Define - Clarify what to build

Skill What It Does Use When
interview-me One-question-at-a-time interview that extracts what the user actually wants instead of what they think they should want, until ~95% confidence The ask is underspecified, or the user invokes โ€œinterview meโ€ / โ€œgrill meโ€
idea-refine Structured divergent/convergent thinking to turn vague ideas into concrete proposals You have a rough concept that needs exploration
spec-driven-development Write a PRD covering objectives, commands, structure, code style, testing, and boundaries before any code Starting a new project, feature, or significant change

Plan - Break it down

Skill What It Does Use When
planning-and-task-breakdown Decompose specs into small, verifiable tasks with acceptance criteria and dependency ordering You have a spec and need implementable units

Build - Write the code

Skill What It Does Use When
incremental-implementation Thin vertical slices - implement, test, verify, commit. Feature flags, safe defaults, rollback-friendly changes Any change touching more than one file
test-driven-development Red-Green-Refactor, test pyramid (80/15/5), test sizes, DAMP over DRY, Beyonce Rule, browser testing Implementing logic, fixing bugs, or changing behavior
context-engineering Feed agents the right information at the right time - rules files, context packing, MCP integrations Starting a session, switching tasks, or when output quality drops
source-driven-development Ground every framework decision in official documentation - verify, cite sources, flag whatโ€™s unverified You want authoritative, source-cited code for any framework or library
doubt-driven-development Adversarial fresh-context review of every non-trivial decision in-flight - CLAIM โ†’ EXTRACT โ†’ DOUBT โ†’ RECONCILE โ†’ STOP, with optional user-authorized cross-model escalation Stakes are high (production, security, irreversible), working in unfamiliar code, or a confident output is cheaper to verify now than to debug later
frontend-ui-engineering Component architecture, design systems, state management, responsive design, WCAG 2.1 AA accessibility Building or modifying user-facing interfaces
api-and-interface-design Contract-first design, Hyrumโ€™s Law, One-Version Rule, error semantics, boundary validation Designing APIs, module boundaries, or public interfaces
mcp-tool-integration Implementing and connecting Model Context Protocol tools. Extending agent capabilities with external data sources

External Data & Agent Integrations

Skill What It Does Use When
linkedin Guides LinkedIn automation workflows with structured output and authentication checks Working with LinkedIn profiles, companies, messages, posts, or connections
xquik-public-data Guides safe public X/Twitter data workflows through documented Xquik routes Reading public tweets, profiles, trends, lists, communities, articles, media, or search results
hermes-tweet Guides safe Hermes Tweet plugin setup, reads, and gated X/Twitter actions Installing Hermes Tweet or choosing read versus action tools for X/Twitter workflows

Creative Media

Skill What It Does Use When
video-router Selects and locks generation, deterministic composition, footage editing, or an end-to-end video-production route Classifying a video brief before production, asset generation, editing, or rendering begins

Verify - Prove it works

Skill What It Does Use When
browser-testing-with-devtools Chrome DevTools MCP for live runtime data - DOM inspection, console logs, network traces, performance profiling Building or debugging anything that runs in a browser
debugging-and-error-recovery Five-step triage: reproduce, localize, reduce, fix, guard. Stop-the-line rule, safe fallbacks Tests fail, builds break, or behavior is unexpected
eval-driven-development Building rigorous LLM evaluation pipelines for AI features Tuning prompts, building RAG pipelines, or changing models

Review - Quality gates before merge

Skill What It Does Use When
code-review-and-quality Five-axis review, change sizing (~100 lines), severity labels (Nit/Optional/FYI), review speed norms, splitting strategies Before merging any change
ax-extract-workflow Reconstructs the evidence trail behind a shipped artifact with ax sessions, recall, commits, and PR context After a successful PR, demo, incident fix, or feature and you want the reusable workflow
code-simplification Chestertonโ€™s Fence, Rule of 500, reduce complexity while preserving exact behavior Code works but is harder to read or maintain than it should be
security-and-hardening OWASP Top 10 prevention, auth patterns, secrets management, dependency auditing, three-tier boundary system Handling user input, auth, data storage, or external integrations
performance-optimization Measure-first approach - Core Web Vitals targets, profiling workflows, bundle analysis, anti-pattern detection Performance requirements exist or you suspect regressions

Ship - Deploy with confidence

Skill What It Does Use When
git-workflow-and-versioning Trunk-based development, atomic commits, change sizing (~100 lines), the commit-as-save-point pattern Making any code change (always)
ci-cd-and-automation Shift Left, Faster is Safer, feature flags, quality gate pipelines, failure feedback loops Setting up or modifying build and deploy pipelines
deprecation-and-migration Code-as-liability mindset, compulsory vs advisory deprecation, migration patterns, zombie code removal Removing old systems, migrating users, or sunsetting features
documentation-and-adrs Architecture Decision Records, API docs, inline documentation standards - document the why Making architectural decisions, changing APIs, or shipping features
observability-and-instrumentation Structured logging, RED metrics, OpenTelemetry tracing, symptom-based alerting - instrument as you build Adding telemetry, or shipping anything that runs in production
shipping-and-launch Pre-launch checklists, feature flag lifecycle, staged rollouts, rollback procedures, monitoring setup Preparing to deploy to production

Agent Personas

Pre-configured specialist personas for targeted reviews:

Agent Role Perspective
code-reviewer Senior Staff Engineer Five-axis code review with โ€œwould a staff engineer approve this?โ€ standard
test-engineer QA Specialist Test strategy, coverage analysis, and the Prove-It pattern
security-auditor Security Engineer Vulnerability detection, threat modeling, OWASP assessment
web-performance-auditor Web Performance Engineer Core Web Vitals audit with Quick/Deep modes and a metric-honesty rule; run it via /webperf

See docs/personas.md for the decision matrix, orchestration rules, and how personas compose with skills and slash commands.


Reference Checklists

Quick-reference material that skills pull in when needed:

Reference Covers
testing-patterns.md Test structure, naming, mocking, React/API/E2E examples, anti-patterns
security-checklist.md Pre-commit checks, auth, input validation, headers, CORS, OWASP Top 10
performance-checklist.md Core Web Vitals targets, frontend/backend checklists, measurement commands
accessibility-checklist.md Keyboard nav, screen readers, visual design, ARIA, testing tools
observability-checklist.md On-call questions, structured logging, RED/USE metrics, tracing, symptom-based alerting, pre-launch gate
orchestration-patterns.md Endorsed multi-persona orchestration patterns, anti-patterns, and the โ€œpersonas donโ€™t invoke personasโ€ rule

How Skills Work

Every skill follows a consistent anatomy:

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  SKILL.md                                       โ”‚
โ”‚                                                 โ”‚
โ”‚  โ”Œโ”€ Frontmatter โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚ name: lowercase-hyphen-name               โ”‚  โ”‚
โ”‚  โ”‚ description: Guides agents through [task].โ”‚  โ”‚
โ”‚  โ”‚              Use whenโ€ฆ                    โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚                                                                                                
โ”‚  Overview         โ†’ What this skill does        โ”‚
โ”‚  When to Use      โ†’ Triggering conditions       โ”‚
โ”‚  Process          โ†’ Step-by-step workflow       โ”‚
โ”‚  Rationalizations โ†’ Excuses + rebuttals         โ”‚
โ”‚  Red Flags        โ†’ Signs something's wrong     โ”‚
โ”‚  Verification     โ†’ Evidence requirements       โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Key design choices:

  • Process, not prose. Skills are workflows agents follow, not reference docs they read. Each has steps, checkpoints, and exit criteria.
  • Anti-rationalization. Every skill includes a table of common excuses agents use to skip steps (e.g., โ€œIโ€™ll add tests laterโ€) with documented counter-arguments.
  • Verification is non-negotiable. Every skill ends with evidence requirements - tests passing, build output, runtime data. โ€œSeems rightโ€ is never sufficient.
  • Progressive disclosure. The SKILL.md is the entry point. Supporting references load only when needed, keeping token usage minimal.

๐Ÿ“ Project Structure

awesome-agent-skills/
โ”œโ”€โ”€ skills/                            # 27 skills (26 lifecycle + 1 meta)
โ”‚   โ”œโ”€โ”€ interview-me/                  #   Define
โ”‚   โ”œโ”€โ”€ idea-refine/                   #   Define
โ”‚   โ”œโ”€โ”€ spec-driven-development/       #   Define
โ”‚   โ”œโ”€โ”€ planning-and-task-breakdown/   #   Plan
โ”‚   โ”œโ”€โ”€ incremental-implementation/    #   Build
โ”‚   โ”œโ”€โ”€ context-engineering/           #   Build
โ”‚   โ”œโ”€โ”€ source-driven-development/     #   Build
โ”‚   โ”œโ”€โ”€ doubt-driven-development/      #   Build
โ”‚   โ”œโ”€โ”€ frontend-ui-engineering/       #   Build
โ”‚   โ”œโ”€โ”€ test-driven-development/       #   Build
โ”‚   โ”œโ”€โ”€ api-and-interface-design/      #   Build
โ”‚   โ”œโ”€โ”€ browser-testing-with-devtools/ #   Verify
โ”‚   โ”œโ”€โ”€ debugging-and-error-recovery/  #   Verify
โ”‚   โ”œโ”€โ”€ eval-driven-development/       #   Verify
โ”‚   โ”œโ”€โ”€ mcp-tool-integration/          #   Build
โ”‚   โ”œโ”€โ”€ code-review-and-quality/       #   Review
โ”‚   โ”œโ”€โ”€ ax-extract-workflow/           #   Review
โ”‚   โ”œโ”€โ”€ code-simplification/          #   Review
โ”‚   โ”œโ”€โ”€ security-and-hardening/        #   Review
โ”‚   โ”œโ”€โ”€ performance-optimization/      #   Review
โ”‚   โ”œโ”€โ”€ git-workflow-and-versioning/   #   Ship
โ”‚   โ”œโ”€โ”€ ci-cd-and-automation/          #   Ship
โ”‚   โ”œโ”€โ”€ deprecation-and-migration/     #   Ship
โ”‚   โ”œโ”€โ”€ documentation-and-adrs/        #   Ship
โ”‚   โ”œโ”€โ”€ observability-and-instrumentation/ # Ship
โ”‚   โ”œโ”€โ”€ shipping-and-launch/           #   Ship
โ”‚   โ””โ”€โ”€ using-awesome-ai-skills/       #   Meta: how to use this pack
โ”œโ”€โ”€ agents/                            # 4 specialist personas
โ”œโ”€โ”€ checklists/                        # 6 supplementary checklists
โ”œโ”€โ”€ hooks/                             # Session lifecycle hooks
โ”œโ”€โ”€ .claude/commands/                  # 7 slash commands (Claude Code)
โ”œโ”€โ”€ .gemini/commands/                  # 7 slash commands (Gemini CLI)
โ”œโ”€โ”€ commands/                          # 8 slash commands (Antigravity CLI)
โ”œโ”€โ”€ plugin.json                        # Antigravity plugin manifest
โ””โ”€โ”€ docs/                              # Setup guides per tool

Why Agent Skills?

AI coding agents default to the shortest path - which often means skipping specs, tests, security reviews, and the practices that make software reliable. Agent Skills gives agents structured workflows that enforce the same discipline senior engineers bring to production code.

Each skill encodes hard-won engineering judgment: when to write a spec, what to test, how to review, and when to ship. These arenโ€™t generic prompts - theyโ€™re the kind of opinionated, process-driven workflows that separate production-quality work from prototype-quality work.

Skills bake in best practices from Googleโ€™s engineering culture โ€” including concepts from Software Engineering at Google and Googleโ€™s engineering practices guide. Youโ€™ll find Hyrumโ€™s Law in API design, the Beyonce Rule and test pyramid in testing, change sizing and review speed norms in code review, Chestertonโ€™s Fence in simplification, trunk-based development in git workflow, Shift Left and feature flags in CI/CD, and a dedicated deprecation skill treating code as a liability. These arenโ€™t abstract principles โ€” theyโ€™re embedded directly into the step-by-step workflows agents follow.


Contributing

Skills should be specific (actionable steps, not vague advice), verifiable (clear exit criteria with evidence requirements), battle-tested (based on real workflows), and minimal (only whatโ€™s needed to guide the agent).

See docs/skill-anatomy.md for the format specification and CONTRIBUTING.md for guidelines.


License

MIT - use these skills in your projects, teams, and tools.

Star History

View this README on GitHub

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Install

npx skillfish add ishandutta2007/awesome-agent-skills