Discover skills
Discover and install skills 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 | |
v1.2.0 Author, debug and configure Apache Airflow 3 DAGs: TaskFlow API, scheduling and assets, XCom, sensors, dynamic task mapping, and multi-layer test suites Contains: airflow-dags Use when creating, debugging, or configuring Apache Airflow 3 DAGs — builds data pipelines with TaskFlow API or traditional operators, configures scheduling and asset-driven triggers, wires XCom data passing, sets up sensors and deferrable operators, generates dynamic task mappings, and structures multi-layer test suites. Triggers on DAG authoring, TaskFlow API, operators, sensors, scheduling, assets, dynamic tasks, XCom, or pipeline testing. | 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 | |
v0.3.2 Tessl Code Review in one plugin. Install it on a GitHub repository with the Tessl Review GitHub App, run the default review lenses from the CLI, tune what a review catches by authoring your own lens, and answer a review's findings. Start with the code-review skill, which routes to the right one. Contains: code-review Start here for Tessl Code Review. Use when someone mentions Tessl Code Review or Tessl's AI review, wants automated review of pull requests in a repository, asks to review a diff, branch, or pull request ("review this change", "check this diff for security issues", "what would Code Review say"), asks what Tessl Code Review does, or asks for something and it is not yet clear which Code Review job it is. Works out whether they want to install it on a repository, run a review, change what reviews catch, or answer a review's findings. Installing is the Tessl Review GitHub App, which this skill points at the documentation for, unless the user names the unsupported GitHub Action, which hands off to setup-code-review; the other jobs hand off to create-code-review-lens, respond-to-code-review, or the tessl code review command. The review-* skills in this plugin are lenses that tessl code review runs as reviewer instructions; do not follow one directly to review code, run the command instead. create-code-review-lens Author a review lens for Tessl Code Review, the reviewer skill that decides what a review looks for in a diff. Settles the review question and the bar a finding has to clear, drafts the lens, runs it against changes that should and should not trip it, backtests it against changes that already carry review feedback, and packages it as a pinned reference a review can select. Use when someone wants their code review to catch something it misses, to stop flagging something it should not, or to write, fork, tune, or debug a code review lens. Not for `tessl review` rubrics, which score skill quality rather than code. respond-to-code-review Answer a Tessl Code Review on a pull request the responder authored. Decides what each finding deserves, fixes, refutes, or declines it with a reason, replies on the thread, and keeps the pull request doing what it was opened to do. Use when review feedback has arrived on an open pull request and the responder is the one answering it, for example "address the review", "respond to the findings", "Tessl left comments", "deal with the review comments", "the check is red and there are findings", or when review rounds keep coming and are not converging. Not for performing a review of someone else's change; that is tessl code review. review-correctness-and-data-integrity Review a code change for realistic functional defects, data loss, duplicate writes, ordering mistakes, and broken integration contracts. Use as one lens in a code review run when correctness or data integrity may be affected. review-maintainability-and-code-quality Review a code change for maintainability, naming, weak contracts, duplicated local precedent, misleading comments, and API or code surfaces that do not enforce what they promise. Use when reviewing for readability, refactoring, code quality, or API design issues. review-scale-and-resilience Review a code change for load, data-volume, concurrency, retry, rollout, dependency-failure, latency, throughput, timeout, and fault-tolerance risks. Use when reviewing for performance under load, scalability, resilience, or failure handling. review-security-and-privacy Review a code change for trust-boundary, authorization, injection, secret-handling, logging, and privacy disclosure risks. Use when reviewing for security, privacy, vulnerabilities, auth bugs, secrets in logs, sensitive-data exposure, or PII disclosure. setup-code-review Unsupported. Sets up Tessl Code Review as a GitHub Action. The supported path is the Tessl Review GitHub App. Use only when the user has explicitly asked for the GitHub Action by name. | Skills | |
alirezarezvani/claude-skills App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes. | Skills | |
alirezarezvani/claude-skills This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format. | 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 | |
netlify/context-and-tools Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy previews, and migrating an existing Postgres project onto Netlify. Use when adding a database, building a contact form or CRUD API, writing SQL migrations, wiring up Drizzle, running netlify database commands, testing with a local Postgres, or switching from Neon/Supabase/RDS to Netlify Database. | Skills | |
Hung-Reo/hungreo-openclaw 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 | |
ArabelaTso/Skills-4-SE Recommend relevant Isabelle/HOL or Coq standard library theories, lemmas, and tactics based on proof goals. Use when: (1) Users need library lemmas for their proof, (2) Proof goals match standard library patterns, (3) Users ask what libraries to import, (4) Specific lemmas are needed for list/set/arithmetic operations, (5) Users are stuck and need to know what library support exists, or (6) Guidance on find_theorems/Search commands is needed. Supports both Isabelle/HOL and Coq standard libraries. | Skills | |
mckinsey/agents-at-scale-ark Regenerate and debug types across the ARK stack (SDK, API, Dashboard). Use when fixing TypeScript type errors in ark-dashboard, updating types after CRD changes, regenerating types.ts from OpenAPI spec, debugging "Property does not exist on type" schema errors, or adding custom SDK functionality via overlays. Covers the full type pipeline from Kubernetes CRDs to TypeScript. | Skills | |
softaworks/agent-toolkit Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts. | Skills | |
fernandezbaptiste/rails_ai_agents Creates Rails models using TDD approach - spec first, then migration, then model. Use when creating new models, adding model validations, defining associations, or setting up database tables. | Skills | |
cassiewallace/airbnb-swift-style-agent-skill Enforces the Airbnb iOS Swift Style Guide on Swift code. Use this skill any time the user wants to: review Swift code for style compliance, lint or audit an iOS codebase, apply Airbnb Swift conventions to new or existing code, understand why code violates Airbnb style rules, or get corrected rewrites of Swift snippets. Triggers on any request mentioning Swift code quality, iOS code review, Airbnb style, linting Swift files, or when the user pastes Swift code and asks for feedback, fixes, or a review. Also use when the user asks to "clean up" or "format" Swift code, or asks "is this good Swift?" — even if they don't mention Airbnb by name. | Skills | |
fernandezbaptiste/claude-code-skills Develops iOS/macOS applications with XcodeGen, SwiftUI, and SPM. Handles Apple Developer signing, notarization, and CI/CD pipelines. Triggers on XcodeGen project.yml, SPM dependency issues, device deployment, code signing errors (Error -25294, keychain mismatch, adhoc fallback, EMFILE, notarization credential conflict, continueOnError), camera/AVFoundation debugging, iOS version compatibility, "Library not loaded @rpath", Electron @electron/osx-sign/@electron/notarize config, notarytool, GitHub Actions secrets in conditionals, or certificate/provisioning problems. Use when building iOS/macOS apps, fixing Xcode build failures, deploying to real devices, or configuring CI/CD signing pipelines. | 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 | |
qsimeon/openclaw-engaging 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 |
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