Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
rohitg00/pro-workflow Generate a structured handoff document capturing current progress, open tasks, key decisions, and context needed to resume work. Use when ending a session, saying "continue later", "save progress", "session summary", or "pick up where I left off". | Skills | |
uinaf/skills Self-check an agent's own completed change before independent review — the builder-owned pre-review sanity pass. Use when running repo guardrails, exercising changed behavior end to end, collecting evidence, or catching obvious self-correctable issues. Produces a `ready for review` / `needs more work` / `blocked` verdict — never a ship decision. If the repo cannot be booted or exercised reliably, report `blocked` with the exact missing infrastructure and required setup. Do not use to audit someone else's diff, branch, or PR. | Skills | |
Decompose problems into pipelines of data transformations. Refactors loops into map/filter/reduce chains, converts nested/OO logic into composable function sequences, designs multi-step data transformation pipelines. Trigger on: "transformational programming", "data pipeline", "function pipeline", "pipe operator", "|>", "stream processing", "chained transformations", "Unix pipes", "dataflow", "decompose into steps", "write this as a pipeline", "compose functions", "chain of transformations", or restructuring imperative/OO code into data transforms. NOT for ETL infrastructure or stream processing frameworks (Kafka, Flink) — focuses on code-level function composition and transformation design patterns. Contains: transformational-programming Decompose problems into pipelines of data transformations. Refactors loops into map/filter/reduce chains, converts nested/OO logic into composable function sequences, designs multi-step data transformation pipelines. Trigger on: "transformational programming", "data pipeline", "function pipeline", "pipe operator", "|>", "stream processing", "chained transformations", "Unix pipes", "dataflow", "decompose into steps", "write this as a pipeline", "compose functions", "chain of transformations", or restructuring imperative/OO code into data transforms. NOT for ETL infrastructure or stream processing frameworks (Kafka, Flink) — focuses on code-level function composition and transformation design patterns. | Skills | |
Hygiene for JavaCV + DJL vision pipelines on Kotlin/JVM: camera discovery and probing, frame-skip policy for heavy inference, downscale-before-detection. Replaces the Python jbaruch/vision-pipeline-foundations tile. Contains: camera-setup-javacv Open and warm up a JavaCV OpenCVFrameGrabber reliably on macOS, probe for real (non-black) frames before starting the main loop, and skip virtual cameras (Insta360 Link, Snap, OBS, Continuity Camera) that hijack low indices. Use when an OpenCVFrameGrabber call succeeds but returns black/stale frames, when switching between built-in and USB webcams, or when the first ~5 seconds of a pipeline produce zero face detections. frame-skip-policy-kotlin Run expensive per-frame inference (face recognition, emotion classification, ViT) at a fraction of the capture rate so the producer loop stays at 30 fps. Includes the 4× downscale pattern for Haar face detection, persisted-overlay technique for skipped frames, and Flow.sample() vs manual modulo approaches. Use when designing a vision pipeline that combines high-rate capture (30 fps+) with heavy per-frame work and you don't need every frame to be inferred. | SkillsRules | |
v0.1.0 Generate, validate, and render JSCAD v2 CAD scripts from natural language prompts Contains: jscad-codegen Generate, validate, and render JSCAD v2 CAD scripts using Claude LLM. Follows DDD and swamp extension model design principles. Use when the user asks to generate a CAD model from a natural language prompt, fix a JSCAD script, or validate an STL output. Triggers on: "generate cad", "create 3d model", "jscad script", "make a part", "design a", "cad model", "generate stl", "fix jscad", "validate stl", "render model", "text to cad". | Skills | |
Enforce strict three-layer architecture: thin HTTP routes, pure service logic with domain errors, isolated data access with dependency injection. Contains: separation-of-concerns Enforce strict three-layer architecture: thin HTTP routes, pure service logic, isolated data access. Use when building or refactoring any web API — when route handlers contain database queries, when business logic is mixed with HTTP parsing, when services reference req/res, when error handling crosses layer boundaries, or when you can't test logic without spinning up a server. | Skills | |
compozy/compozy Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing. | Skills | |
Jeffallan/claude-skills Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing. | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Apply production-ready Ideogram API patterns for TypeScript and Python. Use when implementing Ideogram integrations, refactoring API usage, or establishing team coding standards for Ideogram. Trigger with phrases like "ideogram SDK patterns", "ideogram best practices", "ideogram code patterns", "idiomatic ideogram", "ideogram wrapper". | Skills | |
Dimillian/Skills Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples. | Skills | |
jeffallan/claude-skills Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, resolve state conflicts), provider configuration, multi-environment workflows, and infrastructure testing. | Skills | |
jeffallan/claude-skills Use when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities — including custom security implementations such as hashing passwords with bcrypt/argon2, sanitizing SQL queries with parameterized statements, configuring CORS/CSP headers, validating input with Zod, and setting up JWT tokens. Invoke for authentication, authorization, input validation, encryption, OWASP Top 10 prevention, secure session management, and security hardening. For pre-built OAuth/SSO integrations or standalone security audits, consider a more specialized skill. | Skills | |
jeffallan/claude-skills Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing. | Skills | |
dimillian/skills Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples. | Skills | |
Sanitize and validate user input at system boundaries — prevent XSS, SQL Contains: input-sanitization Sanitize and validate user input at system boundaries — prevent XSS, SQL injection, path traversal, command injection, SSRF, and malformed data. Use when building any web app that accepts user input, when reviewing input handling, or when a security scan flags injection vulnerabilities. Covers frontend, backend, file handling, and shell safety. | Skills | |
getsentry/sentry Create a new ESLint rule with tests for eslintPluginScraps. Use when asked to "create a lint rule", "add an eslint rule", "scaffold a rule", "write a new scraps rule", or "new design system lint rule". Covers rule creation, test authoring, registration, and autofix implementation. | Skills | |
trpc-group/trpc-agent-go Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI. | Skills | |
openai/plugins Builds a relationship or deal summary using the Superhuman Mail MCP server — pulling together all email history, read receipts, and calendar interactions with a specific person or company to act as a lightweight CRM. Use this skill whenever someone asks to "show me all communication with [person/company]", "what's the status of my deal with [company]", "give me a relationship summary for [person]", "when did I last talk to [person]", "pull up everything about [company]", "track this deal", "who haven't I followed up with", "show me engagement on emails I sent to [person]", "CRM view of [person]", "what's my communication history with [person]", or any variation of wanting a consolidated view of a relationship or deal. Trigger broadly — if someone wants to understand the full picture of their interactions with a person or company, this skill should activate. | Skills | |
deepgram/dglabs-deepclaw Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI. | Skills | |
neo4j-contrib/neo4j-skills Neo4j Java Driver v6 — driver lifecycle, Maven/Gradle setup, executableQuery, executeRead/Write managed transactions, explicit transactions, async/reactive patterns, error handling, data type mapping, connection pool tuning, causal consistency/bookmarks. Use when writing Java or Kotlin code that connects to Neo4j via GraphDatabase.driver, executableQuery, SessionConfig, executeRead, executeWrite, or TransactionCallback. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill. Does NOT cover Spring Data Neo4j (@Node, Neo4jRepository) — use neo4j-spring-data-skill. | Skills |
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