CtrlK
BlogDocsLog inGet started
Tessl Logo

Discover skills

Discover and install skills to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsScore

api-contract-testing

secondsky/claude-skills

Verifies API contracts between services using consumer-driven contracts, schema validation, and tools like Pact. Use when testing microservices communication, preventing breaking changes, or validating OpenAPI specifications.

Skills
tessl-labs/separation-of-concerns
v0.1.5

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

dancon-error-handling

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

invariant-inference

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

flaky-test-detector

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

abstract-state-analyzer

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

langchain-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Install and configure LangChain SDK with provider authentication. Use when setting up a new LangChain project, configuring API keys for OpenAI/Anthropic/Google, or initializing @langchain/core in Node.js or Python. Trigger: "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials".

Skills

cloudflare-workers-migration

secondsky/claude-skills

Migrate to Cloudflare Workers from AWS Lambda, Vercel, Express, and Node.js. Use when porting existing applications to the edge, adapting serverless functions, or resolving Node.js API compatibility issues.

Skills

draw-io

softaworks/agent-toolkit

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Skills

laravel-specialist

jeffallan/claude-skills

Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.

Skills

csharp-developer

jeffallan/claude-skills

Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Builds REST APIs using minimal or controller-based routing, configures database access with Entity Framework Core, implements async patterns and cancellation, structures applications with CQRS via MediatR, and scaffolds Blazor components with state management. Invoke for C#, .NET, ASP.NET Core, Blazor, Entity Framework, EF Core, Minimal API, MAUI, SignalR.

Skills

draw-io

softaworks/agent-toolkit

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Skills

Audit existing skills with Tessl scoring, metadata and trigger-coverage checks, repo conventions, and skill-authoring best practices. Use when creating or revising a skill, triaging weak self-activation, or comparing a skill against source-repo guidance such as `AGENTS.md`, `CLAUDE.md`, or repo rules, plus external skill guidance. Do not use to verify general application code or to rewrite unrelated docs.

Contains:

skill-audit

Audit existing skills with Tessl scoring, metadata and trigger-coverage checks, repo conventions, and skill-authoring best practices. Use when creating or revising a skill, triaging weak self-activation, or comparing a skill against source-repo guidance such as `AGENTS.md`, `CLAUDE.md`, or repo rules, plus external skill guidance. Do not use to verify general application code or to rewrite unrelated docs.

Skills

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

Analyze agent sessions against verifier checklists, detect friction points, and create structured verifiers from skills and docs. Produces per-session verdicts and aggregated quality reports.

Contains:

analyze-sessions

Analyze agent sessions by collecting logs, discovering verifiers, and dispatching LLM judges to understand how well agents followed your instructions. Produces per-session verdicts and an aggregated summary. Use when you want to understand how agents are using your skills and docs, identify where guidance was missed, and find opportunities to improve.

create-verifiers

Create structured verifiers (eval rubrics) from skills, docs, rules, or any instruction source. Produces checklist-based grading criteria that LLM judges can score against agent session logs. Use when you want to define tests for agent behavior, build assessment criteria, validate compliance, or check quality of agent responses.

review-friction

Detect friction points in agent sessions — errors, backtracking, user frustration, repeated failures. Dispatches haiku judges to review transcripts and produces an aggregated friction summary. Can run standalone or as part of the analyze-sessions pipeline.

Skills

find-skills

vercel-labs/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

Skills

swiftui-ui-patterns

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

ideogram-sdk-patterns

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

swiftui-ui-patterns

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

Hygiene patterns for any OpenCV + dlib vision pipeline: camera index probing + macOS init quirks, warmup that verifies real frames, frame-skip policy for expensive inference.

Contains:

camera-setup

Open and warm up a cv2.VideoCapture reliably, probe for real (non-black) frames before starting the main loop, and handle macOS index enumeration quirks. Use when a VideoCapture 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

Run expensive per-frame inference (face recognition, emotion classification, ViT embeddings) at a fraction of the capture rate so the camera loop stays responsive. Use when designing a vision pipeline that combines high-rate capture (30fps+) with heavy per-frame work (dlib, ViT, DeepFace) and you don't need every frame to be inferred.

SkillsRules

Can't find what you're looking for? Evaluate a missing skill.