openlitCursor ruleopenlit / rules
openlit/openlit/.cursor/rules/documentation.mdc
Standards for OpenLIT documentation, MDX structure, navigation, examples, and terminology.
Find the best CLAUDE.md, AGENTS.md and Claude skills
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openlitCursor rule
NVIDIACursor ruleNeMo-Agent-Toolkit / documentation
NVIDIA/NeMo-Agent-Toolkit/.cursor/rules/documentation/categories.mdc
Guidelines for placing documentation in the correct category within the docs/source directory
wondelaiSkilllean-ux
wondelai/skills/lean-ux/SKILL.md
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "outcome over output", "design studio method", "assumption mapping", "lightweight research", "too much design documentation", or "get the team designing together". Also trigger when reducing design-documentation overhead, getting cross-functional teams to co-design, or running fast usability experiments. Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.
topoteretesSkillcognee
topoteretes/cognee/cognee/skill.md
Use this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents learning from feedback, knowledge graphs, graph-based RAG, long-term memory for agents, short-term memory for agents, personalization, personas, temporal search, temporal knowledge graphs, ontology-based extraction, ontology grounding, feedback, Cypher search, natural-language graph search, chunk search, RAG search, cross-session memory, session feedback, feedback loops, session based memory, redis based memory, knowledge promotion. Also use when the user describes the workflow such as: "turn documents into a knowledge graph", "build memory from files", "search my graph", "extract entities and relations", "sync data into a graph", "update graph memory", "store memories for an agent", "help my agent learn over time", "visualize a knowledge graph built from documents", "let the agent learn", "adaptive agents", "personalized agents", "session based personalization", "find important ontologies", "find custom pydantic models", "isolate agentic behaviour", "add permission control to retrieval", "reduce context bloating".
MicrosoftSkillmicrosoft-docs
microsoft/ai-agents-for-beginners/translations/fr/.agents/skills/microsoft-docs/SKILL.md
Interroger la documentation officielle de Microsoft pour trouver des
MicrosoftSkillmicrosoft-docs
microsoft/ai-agents-for-beginners/translations/pcm/.agents/skills/microsoft-docs/SKILL.md
Na to search official Microsoft documentation make you fit find concepts,
OpenAISkilldocs-sync
openai/openai-agents-python/.agents/skills/docs-sync/SKILL.md
Audit or update English SDK documentation against the requested implementation scope.
open-gsdSkillgsd-docs-update
open-gsd/gsd-core/skills/gsd-docs-update/SKILL.md
Generate or update project documentation verified against the codebase
callstackincubatorSkillwriting-user-docs
callstackincubator/agent-skills/skills/writing-user-docs/SKILL.md
House style for user-facing documentation — voice, scope, structure, and what to leave out. Use this skill whenever writing, editing, or reviewing anything a user reads to learn how to use a tool — help center articles, getting-started guides, tutorials, feature docs, README usage sections, in-app help, release notes, or FAQ entries. Trigger it even when the request is phrased plainly — "document this feature", "write docs for X", "explain this to users", "write a README for this library", "turn these notes into a guide" — and even when no style guidelines are mentioned. Also use it to review existing docs for tone, bloat, or leaked implementation detail. Do not use it for internal engineering docs, architecture write-ups, RFCs, or code comments.
compozySkillhandoff
compozy/compozy/.agents/skills/handoff/SKILL.md
Compact the current conversation into a handoff document for another agent to pick up.
mrgoonieSkillai-multimodal
mrgoonie/claudekit-skills/.claude/skills/ai-multimodal/SKILL.md
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
NVIDIACursor ruleNeMo-Agent-Toolkit / documentation
NVIDIA/NeMo-Agent-Toolkit/.cursor/rules/documentation/latinisms.mdc
Guidelines for avoiding Latin phrases in documentation to simplify content for a global audience
OpenAISkillgoogle-docs
openai/plugins/plugins/google-drive/skills/google-docs/SKILL.md
Prompt- and template-complete Google Docs creation and editing with explicit-instruction-authoritative structural preservation, including semantic roles, relationships, comparison dimensions, and instructed extensions; full-topology native-copy routing; source-grounded per-tab adaptation for past/example references; style-preserving hyperlink and table edits; canonical smart-chip-first authoring for dates and relevant supported people or Google resources; a file-backed advisory trusted read before existing-document writes; automatic protected-control awareness; direct connector APIs by default; DOCX-first import only when no supplied Google Doc template/reference constrains the output; and checked-in code mode only for exact native dropdown mutation. Use when Codex must create, edit, fill, adapt, redesign, or verify Google Docs without overriding explicit user/template instructions, adding unrequested document scope, or carrying stale reference facts into a new deliverable.
StripeSkillstripe-directory
stripe/ai/providers/agent-plugins/plugin/skills/stripe-directory/SKILL.md
Identifies external providers, merchants, nonprofits, platforms, APIs, and software services, and resolves the documented way to engage them — to pay, donate, subscribe, book, provision, or integrate with them. MUST be used BEFORE web search, model memory, or any other directory/vendor-lookup skill for ANY request that requires selecting, finding, or engaging an external provider or organization — whether a specific one is named ("pay my Twilio bill"), implied ("donate to the Red Cross"), or only a category is stated ("set up a mailing client", "I need a database", "find me a CRM"). Directory supplies verified recipients and their documented payment or engagement path. Results are ranked by agent-readiness (how reliably an agent can complete the interaction), relevance and popularity. Do not treat this as a search-only tool. Examples: "setup a database", "find hosting", "pay X", "use Twilio", "donate $50 to the Red Cross", "book a table at Y", "subscribe to a CRM".
DonchitosSkillarchitecture-decision
Donchitos/Claude-Code-Game-Studios/.claude/skills/architecture-decision/SKILL.md
Create an ADR documenting a technical decision: context, alternatives considered, consequences.
ykdojoSkillhandoff
ykdojo/claude-code-tips/skills/handoff/SKILL.md
Write or update a handoff document so the next agent with fresh context can continue this work.
elementalsoulsSkillhunt-rag-vector
elementalsouls/Claude-BugHunter/skills/hunt-rag-vector/SKILL.md
Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from one-shot indirect prompt injection, which is owned by hunt-llm-ai), cross-tenant vector-database IDOR (unauthenticated or unscoped queries against Pinecone/Weaviate/Chroma/Milvus/Qdrant/pgvector), source-text/metadata leakage in similarity-search results, and retrieval-hijack via adversarial embedding proximity ('SEO poisoning' for RAG). Targets: any app with a shared knowledge base, document upload feeding a chatbot, or a directly reachable vector-DB port. Validate: a second, clean session/account must inherit a poisoned result, or a cross-tenant artifact must be independently verifiable — confabulation is not a finding, same bar as hunt-llm-ai. Use when target is RAG-backed, exposes a vector-DB port, or lets users upload documents that other users' queries later retrieve.
AWSSkillmanaging-amazon-kinesis-data-streams
aws/agent-toolkit-for-aws/skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams/SKILL.md
Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.
GitHubSkillaspnet-minimal-api-openapi
github/awesome-copilot/skills/aspnet-minimal-api-openapi/SKILL.md
Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
AWSSkillaws-well-architected-review
aws/agent-toolkit-for-aws/plugins/aws-core/skills/aws-well-architected-review/SKILL.md
Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation. Supports full reviews (every framework best practice with BP ID citations), quick reviews (question-level), pillar-scoped reviews, score-mode reviews (a maturity scorecard with per-pillar scores and filtered findings), and lens-specific reviews using lenses discovered from the live AWS documentation. Triggers on mentions of Well-Architected review, WA review, WAR, pillar assessment, architecture review across pillars, workload assessment, cloud readiness evaluation, or a Well-Architected score, grade, or scorecard request. Does not apply to single-pillar deep-dives, learning WA concepts, ADRs, or migration readiness assessments.
Agent instruction files
What are agent instruction files?
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.