Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
danielyan-consulting/skills Scan a codebase for missing or inadequate security-aware error handling and propose context-appropriate fixes. Use when the user asks to audit, review, scan, or check error handling in code; mentions "error handling audit", "exception handling review", "security error handling"; uploads a codebase wanting a security review focused on error handling; or says things like "find missing try/catch", "check for unhandled exceptions", "detect empty catch blocks", "identify information leakage in error messages", or "make my error handling more secure". | Skills | |
ArabelaTso/Skills-4-SE Automatically infer loop invariants for code verification and correctness proofs. Use when analyzing loops to identify properties that hold throughout execution, generating assertions for verification, proving loop correctness, or documenting loop behavior. Supports Python, Java, C/C++, and language-agnostic analysis. Generates invariants as code assertions (assert statements). Triggers when users ask to infer invariants, find loop properties, generate loop assertions, prove loop correctness, or verify loop behavior. | Skills | |
ArabelaTso/Skills-4-SE Identifies non-deterministic or unreliable tests through static code analysis and test result analysis. Use when Claude needs to find flaky tests, analyze test reliability, or investigate intermittent test failures. Supports Python (pytest, unittest) and Java (JUnit, TestNG) test frameworks. Trigger when users mention "flaky tests", "intermittent failures", "non-deterministic tests", "unreliable tests", or ask to "find flaky tests", "analyze test stability", or "why tests fail randomly". | Skills | |
ArabelaTso/Skills-4-SE Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution. | Skills | |
getsentry/sentry Guide for adding notifications, custom renderers, or new providers to Sentry's NotificationPlatform. Use when asked to "add notification", "new notification", "notification platform", "send notification", "notification template", "notification renderer", "notification provider", "NotificationPlatform", "notify user", "send email notification", "send slack notification". | 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 | |
v1.0.2 Audit and build the infrastructure a repo needs so agents can work autonomously — boot scripts, smoke tests, CI/CD gates, dev environment setup, observability, and isolation. Use when a repo can't boot, tests are broken or missing, there's no dev environment, agents can't verify their work, or agents need human help to get anything done. Do not use for reviewing an existing diff or for documentation-only cleanup. Contains: agent-readiness Audit and build the infrastructure a repo needs so agents can work autonomously — boot scripts, smoke tests, CI/CD gates, dev environment setup, observability, and isolation. Use when a repo can't boot, tests are broken or missing, there's no dev environment, agents can't verify their work, or agents need human help to get anything done. Do not use for reviewing an existing diff or for documentation-only cleanup. | Skills | |
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 | |
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 | |
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 | |
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 | |
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 | |
trpc-group/trpc-agent-go Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles". | Skills |
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