AI-SKILLS

<div align="center"> <a href="https://amey-thakur.github.io/AI-SKILLS/"><img src="docs/favicon.svg" alt="AI-SKILLS logo" width="88"></a> # AI Skills **Plug-and-play skills and prompts for every AI coding agent.** Claude Code · Claude Desktop · Cursor · OpenAI Codex · Gemini CLI · GitHub Copilot · Windsurf · Antigravity · Cline · Zed · Aider · any agent that reads a file [Website](https://amey-thakur.github.io/AI-SKILLS/) · [Prompt Studio](https://amey-thakur.github.io/AI-SKILLS/prompt-studio.html) · [Install](INSTALL.md) · [Skills](skills/) · [Prompts](prompts/) · [Ecosystem](ECOSYSTEM.md) · [Contributing](CONTRIBUTING.md) </div> <br> > [!TIP] > **Autonomous by design.** Point any agent at this repo and it selects the > right skill or prompt for each task on its own: it reads [`AGENTS.md`](AGENTS.md) > (and [`CLAUDE.md`](CLAUDE.md) in Claude Code), then picks from > [`index.json`](index.json) by each entry's `use_when` trigger. You install > once; you never have to name a skill. ## What this is One place that finds every skill. Two halves make that true: - **The library**: original skills and prompts, written for this repository, every one complete and tested. Below. - **[The ecosystem index](ECOSYSTEM.md)**: every major skill collection on GitHub, indexed with per-skill links for the official ones. 8,000+ skills reachable through [`ecosystem.json`](ecosystem.json), one fetch away. The idea behind the library: a tested method beats improvisation. Hand an agent the way a strong engineer reviews code, and its review improves in one step. Hand a person a prompt built on what actually works, and the answer improves on the first try. - **[`skills/`](skills/)** are working methods an agent loads and follows: reviewing code, debugging, writing a postmortem, designing an API. One folder per skill, one `SKILL.md` inside, in the format Claude agents load natively and every other tool can read. - **[`prompts/`](prompts/)** are complete prompts with named `{variables}`, the model settings to run them, and one honest line on what each does well. Build your own in the browser with the [Prompt Studio](https://amey-thakur.github.io/AI-SKILLS/prompt-studio.html). Where settings mention temperature: that is the model's freedom to improvise, 0 exact and repeatable, 1 creative. No temperature control in your tool? Skip it; the prompt works at the default. In Claude Code every prompt installs as a slash command: `/summarize`, `/tldr`, `/explain`, `/plan`, `/brainstorm`, `/critique`, `/improve`, `/outline`, `/steps`, `/pros-cons`, plus `/goal`, `/autoresearch`, and `/reflect` (the generated [`commands/`](commands/) folder). Cursor and Antigravity read the same prompts as slash commands too; [INSTALL.md](INSTALL.md) has the one-line copy step per tool. Each entry is plain markdown with a short header. That is the design, not a limitation: a method an agent can read is one you can read, edit, version, and carry to your next tool. No runtime, no framework, no format that expires when a product does. <br> ## Quick start **Claude Code** adds the whole library from one command, organized as one installable plugin per category: ``` /plugin marketplace add Amey-Thakur/AI-SKILLS ``` **Any other tool** reads plain markdown. The one-liners: | Tool | One line | |---|---| | Claude Desktop, claude.ai | Upload a skill folder in Settings, Capabilities, Skills | | Codex, Gemini CLI, Cursor, Copilot, Windsurf, Antigravity, Zed, Aider | Reference a skill from your `AGENTS.md` | | Cline | `curl -s <raw>/skills/code-quality/code-review/SKILL.md > .clinerules/code-review.md` | | Any API | Fetch the raw file; the body is your system prompt | Full per-tool instructions, including scoped Cursor `.mdc` rules and Copilot instruction files, are in **[INSTALL.md](INSTALL.md)**. **For agents:** the whole catalog is machine-readable at [`index.json`](index.json) (each entry with a description and a raw URL), mirrored in [`llms.txt`](llms.txt), with usage rules in [`AGENTS.md`](AGENTS.md). Fetch the index, pick by description, pull only what the task needs. <br> ## What's inside One row per category; every entry, with its one-line description, is in **[CATALOG.md](CATALOG.md)**. <!-- library:start --> | Category | Skills | For example | |---|---|---| | [accessibility](CATALOG.md#accessibility-8) | 8 | accessibility-review, accessible-forms, alt-text-writing | | [apis](CATALOG.md#apis-9) | 9 | api-change-management, api-client-design, api-deprecation | | [architecture](CATALOG.md#architecture-13) | 13 | api-gateway-pattern, architecture-decision-records, architecture-diagrams | | [backend](CATALOG.md#backend-14) | 14 | api-error-responses, api-versioning, background-jobs | | [big-tech-processes](CATALOG.md#big-tech-processes-28) | 28 | architecture-review-board, bar-raiser-interviewing, canary-analysis | | [big-tech-roles](CATALOG.md#big-tech-roles-30) | 30 | accessibility-specialist-role, backend-engineer-role, cloud-architect-role | | [business-growth](CATALOG.md#business-growth-8) | 8 | churn-analysis, community-building, developer-marketing | | [career-communication](CATALOG.md#career-communication-10) | 10 | async-communication, conference-talks, engineering-resume | | [cloud](CATALOG.md#cloud-12) | 12 | autoscaling-policies, cloud-cost-optimization, cloud-disaster-recovery | | [code-quality](CATALOG.md#code-quality-37) | 37 | api-surface-minimalism, assertion-density, boolean-parameters | | [css-styling](CATALOG.md#css-styling-10) | 10 | css-animations, css-architecture, css-cascade | | [data-engineering](CATALOG.md#data-engineering-12) | 12 | batch-vs-streaming, change-data-capture, data-lineage | | [data-science](CATALOG.md#data-science-18) | 18 | cohort-analysis, correlation-causation, data-cleaning | | [databases](CATALOG.md#databases-12) | 12 | backup-restore, database-migrations, database-normalization | | [debugging](CATALOG.md#debugging-32) | 32 | alerting-design, binary-search-debugging, browser-devtools | | [devops](CATALOG.md#devops-14) | 14 | artifact-versioning, blue-green-deployments, capacity-planning | | [distributed-systems](CATALOG.md#distributed-systems-12) | 12 | backpressure, clock-skew, consensus-basics | | [documentation](CATALOG.md#documentation-10) | 10 | api-reference-docs, changelog-writing, code-documentation | | [email](CATALOG.md#email-8) | 8 | clear-emails, difficult-emails, email-etiquette | | [embedded-iot](CATALOG.md#embedded-iot-8) | 8 | embedded-debugging, embedded-memory-constraints, firmware-ota-updates | | [frontend](CATALOG.md#frontend-10) | 10 | design-systems, error-boundaries-ui, form-handling | | [game-development](CATALOG.md#game-development-8) | 8 | entity-component-system, game-asset-pipeline, game-input-handling | | [git-collaboration](CATALOG.md#git-collaboration-10) | 10 | branch-strategy, code-owners, commit-messages | | [gpu-ai-infrastructure](CATALOG.md#gpu-ai-infrastructure-20) | 20 | ai-datacenter-networking, checkpointing-large-training, cuda-kernel-basics | | [javascript-typescript](CATALOG.md#javascript-typescript-14) | 14 | js-async-patterns, js-error-handling, js-event-loop | | [jvm-dotnet](CATALOG.md#jvm-dotnet-10) | 10 | csharp-linq, dotnet-async, dotnet-dependency-injection | | [llm-engineering](CATALOG.md#llm-engineering-22) | 22 | agent-memory, agentic-loops, coding-agent-workflow | | [machine-learning](CATALOG.md#machine-learning-12) | 12 | cross-validation, drift-monitoring, experiment-tracking | | [mobile](CATALOG.md#mobile-10) | 10 | app-store-readiness, deep-linking, mobile-input-ux | | [multi-agent-teams](CATALOG.md#multi-agent-teams-25) | 25 | agent-arch-board, agent-code-review-loop, agent-competitive-analysis-team | | [performance](CATALOG.md#performance-28) | 28 | algorithmic-optimization, async-io-patterns, batching-and-debouncing | | [product-management](CATALOG.md#product-management-10) | 10 | ab-test-design, customer-interviews, feature-sunsetting | | [python](CATALOG.md#python-14) | 14 | pytest-mastery, python-asyncio, python-cli-tools | | [research](CATALOG.md#research-15) | 15 | autonomous-research, decision-journals, deep-research | | [scripting-automation](CATALOG.md#scripting-automation-10) | 10 | automation-guardrails, bash-robustness, cli-ux-design | | [security](CATALOG.md#security-44) | 44 | api-security, audit-logging, authn-design | | [systems-languages](CATALOG.md#systems-languages-10) | 10 | c-memory-safety, cpp-raii, ffi-boundaries | | [testing](CATALOG.md#testing-41) | 41 | api-testing, approval-testing, assertion-libraries | | [ui-ux](CATALOG.md#ui-ux-10) | 10 | empty-and-error-states, information-architecture, interaction-design | | [writing](CATALOG.md#writing-10) | 10 | audience-adaptation, clear-writing, concise-writing | | [prompts](CATALOG.md#prompts-134) | 134 | ad-copy, add-code-comments, adjust-tone | <!-- library:end --> <br> ## Principles 1. **Portable.** Plain markdown + minimal YAML. If a tool dies, the content survives. 2. **Honest.** Each entry says what it is for and where it does not apply. Nothing here claims to replace judgment. 3. **Complete.** An entry ships when it is usable end to end, not before. 4. **Small.** One method per skill, one job per prompt. Composition beats bloat. <br> ## FAQ **Why not just prompt harder?** "Review this well" leaves the agent to guess what good means. A skill hands it the priorities, the verification steps, and the reporting format a strong engineer would use. The output changes on the next run. **Does this work with my tool?** If the tool reads a markdown file, yes. The per-tool steps in [INSTALL.md](INSTALL.md) are conveniences, not requirements. **How is this different from a curated list?** It is both halves. The library is the things themselves: every entry here, complete, in one format. The [ecosystem index](ECOSYSTEM.md) is the list: every major collection elsewhere, linked and machine-readable. One fetch covers both. **Can I use these commercially?** Yes, under MIT. Attribution is appreciated and never required. <br> ## Contributing New skills and prompts are welcome when they clear the bar in [CONTRIBUTING.md](CONTRIBUTING.md): complete, self-contained, honest, distinct, portable. By taking part you agree to the [Code of Conduct](CODE_OF_CONDUCT.md). Found something that could cause harm? Follow the [security policy](SECURITY.md), not a public issue. ## License and author Released under the [MIT License](LICENSE). Use these skills and prompts commercially or privately; attribution is appreciated and never required. Built by [Amey Thakur](https://github.com/Amey-Thakur), who also builds [NotebookLab](https://github.com/Amey-Thakur/NotebookLab), the offline-first AI knowledge workspace these methods grew out of.