AI SKILLS

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 · Prompt Studio · [Install](INSTALL.md) · [Skills](skills/) · [Prompts](prompts/) · [Ecosystem](ECOSYSTEM.md) · [Contributing](CONTRIBUTING.md)

> [!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. 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.

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 /skills/code-quality/code-review/SKILL.md > .clinerules/code-review.md | | Any API | Fetch the raw file; the body is your system prompt |

` above is https://raw.githubusercontent.com/Amey-Thakur/AI-SKILLS/main. 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.

What's inside

One row per category; every entry, with its one-line description, is in [CATALOG.md](CATALOG.md).

| Category | Skills | For example | |---|---|---| | [accessibility](CATALOG.md#accessibility-8) | 8 | accessibility-review, accessible-forms, alt-text-writing | | [ai-coding-tools](CATALOG.md#ai-coding-tools-12) | 12 | agent-code-review, agent-context-setup, agent-cost-control | | [ai-memory-rag](CATALOG.md#ai-memory-rag-12) | 12 | chunking-strategies, citation-grounding, context-compression | | [api-integration](CATALOG.md#api-integration-12) | 12 | api-credential-rotation, data-mapping, integration-migration | | [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-fundamentals](CATALOG.md#business-fundamentals-12) | 12 | business-model-design, capital-allocation, cash-flow-management | | [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-38) | 38 | api-surface-minimalism, assertion-density, boolean-parameters | | [computer-engineering](CATALOG.md#computer-engineering-12) | 12 | algorithmic-complexity, binary-data-representation, compilers-and-toolchains | | [css-styling](CATALOG.md#css-styling-10) | 10 | css-animations, css-architecture, css-cascade | | [customer-support](CATALOG.md#customer-support-12) | 12 | community-support, customer-feedback-loop, difficult-customer-conversations | | [data-engineering](CATALOG.md#data-engineering-12) | 12 | batch-vs-streaming, change-data-capture, data-lineage | | [data-privacy](CATALOG.md#data-privacy-11) | 11 | consent-management, cookie-compliance, cross-border-transfers | | [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 | | [deep-learning](CATALOG.md#deep-learning-12) | 12 | attention-mechanism, backpropagation, batch-size-effects | | [deliverables](CATALOG.md#deliverables-12) | 12 | dashboard-building, documentation-site, form-design | | [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 | | [github-platform](CATALOG.md#github-platform-12) | 12 | actions-security, branch-protection, dependency-scanning-setup | | [gpu-ai-infrastructure](CATALOG.md#gpu-ai-infrastructure-20) | 20 | ai-datacenter-networking, checkpointing-large-training, cuda-kernel-basics | | [i18n-localization](CATALOG.md#i18n-localization-12) | 12 | character-encoding, currency-localization, locale-aware-sorting | | [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 | | [learning-and-teaching](CATALOG.md#learning-and-teaching-12) | 12 | chess-improvement, curriculum-sequencing, deliberate-practice | | [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 | | [marketing](CATALOG.md#marketing-12) | 12 | community-led-growth, competitive-messaging, content-marketing-strategy | | [mcp](CATALOG.md#mcp-12) | 12 | mcp-authentication, mcp-client-integration, mcp-context-budgeting | | [media-processing](CATALOG.md#media-processing-11) | 11 | audio-processing, document-parsing, format-selection | | [mobile](CATALOG.md#mobile-10) | 10 | app-store-readiness, deep-linking, mobile-input-ux | | [multi-agent-teams](CATALOG.md#multi-agent-teams-73) | 73 | agent-accountability-loop, agent-analytics-desk, agent-arch-board | | [networking](CATALOG.md#networking-4) | 4 | dns-fundamentals, load-balancing, tls-and-certificates | | [notifications-messaging](CATALOG.md#notifications-messaging-12) | 12 | delivery-tracking, digest-design, email-deliverability | | [open-source](CATALOG.md#open-source-12) | 12 | code-of-conduct-enforcement, contributor-onboarding, documentation-for-adoption | | [payments-billing](CATALOG.md#payments-billing-12) | 12 | failed-payment-recovery, invoicing-and-receipts, payment-idempotency | | [performance](CATALOG.md#performance-28) | 28 | algorithmic-optimization, async-io-patterns, batching-and-debouncing | | [platform-engineering](CATALOG.md#platform-engineering-12) | 12 | build-system-design, developer-productivity-metrics, environment-provisioning | | [product-management](CATALOG.md#product-management-10) | 10 | ab-test-design, customer-interviews, feature-sunsetting | | [project-management](CATALOG.md#project-management-11) | 11 | cross-team-coordination, milestone-planning, project-closure | | [prompt-writing](CATALOG.md#prompt-writing-12) | 12 | chain-of-thought-prompting, context-placement, few-shot-examples | | [python](CATALOG.md#python-14) | 14 | pytest-mastery, python-asyncio, python-cli-tools | | [realtime-collaboration](CATALOG.md#realtime-collaboration-12) | 12 | collaborative-editing-models, comments-and-annotations, conflict-resolution-ux | | [reliability](CATALOG.md#reliability-12) | 12 | capacity-forecasting, chaos-engineering, disaster-recovery-testing | | [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 | | [search-relevance](CATALOG.md#search-relevance-12) | 12 | autocomplete-design, faceted-search, full-text-search-design | | [security](CATALOG.md#security-44) | 44 | api-security, audit-logging, authn-design | | [spreadsheets](CATALOG.md#spreadsheets-12) | 12 | conditional-formatting, data-validation-rules, excel-formulas | | [sql](CATALOG.md#sql-12) | 12 | common-table-expressions, deduplication-queries, null-semantics | | [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-250) | 250 | ab-test-plan, ad-copy, add-code-comments |

Principles

1. Portable. Plain markdown + minimal YAML. If a tool dies, the content

survives.

1. Honest. Each entry says what it is for and where it does not apply.

Nothing here claims to replace judgment.

1. Complete. An entry ships when it is usable end to end, not before.
2. Small. One method per skill, one job per prompt. Composition beats

bloat.

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.

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](CODEOFCONDUCT.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, who also builds NotebookLab, the offline-first AI knowledge workspace these methods grew out of.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Amey-Thakur
• Source: Amey-Thakur/AI-SKILLS
• License: MIT
• Homepage: https://amey-thakur.github.io/AI-SKILLS/

Install and usage instructions live in the source repository linked above.