Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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concise-output
Enforces brevity and signal-over-noise in all outputs. Eliminates verbose explanations, filler phrases, and unnecessary elaboration. Triggers on: every response (governs output length and density when loaded).
NTCoding/claude-skillz 290
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writing-tests
Principles for writing effective, maintainable tests. Covers naming conventions, assertion best practices, and comprehensive edge case checklists. Based on BugMagnet by Gojko Adzic. Triggers on: writing any test, 'add tests', test review, test naming, assertion choices, edge case coverage, 'what should I test', test structure decisions.
NTCoding/claude-skillz 290
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lightweight-implementation-analysis-protocol
This skill should be used when fixing bugs, implementing features, debugging issues, or making code changes. Ensures understanding of code flow before implementation by: (1) Tracing execution path with specific file:line references, (2) Creating lightweight text diagrams showing class.method() flows, (3) Verifying understanding with user. Prevents wasted effort from assumptions or guessing. Triggers when users request: bug fixes, feature implementations, refactoring, TDD cycles, debugging, code analysis.
NTCoding/claude-skillz 290
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tactical-ddd
Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design. Triggers on: domain modeling, aggregate design, 'entity', 'value object', 'repository', 'bounded context', 'domain event', 'domain service', code touching domain/ directories, rich domain model discussions.
NTCoding/claude-skillz 290
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challenge-that
Force critical evaluation of proposals, requirements, or decisions by analyzing from multiple adversarial perspectives. Triggers on: accepting a proposal without pushback, 'sounds good', 'let's go with', design decisions with unstated tradeoffs, unchallenged assumptions, premature consensus. Invoke with /challenge-that.
NTCoding/claude-skillz 290
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fetching-circleci-logs
Fetches CircleCI job logs via the v1.1 API and displays step-level output. Focuses on failed steps. Use when: CI checks fail on a PR, user shares a CircleCI job URL, user asks to check build logs, 'circleci', 'build failed', 'CI failed', 'check the logs'.
NTCoding/claude-skillz 290
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independent-research
Use when about to ask the user a factual question, propose a solution, diagnose an error, or choose between approaches. Triggers on: 'Do you have X installed?', 'What version?', 'Is X configured?', 'We should...', 'The fix is...', 'Options: 1...', 'Based on my understanding...', 'I believe X supports...'. Before deciding anything, spin up parallel subagents to WebSearch for current docs, community solutions, framework best practices, and GitHub issues. Your memory is stale — verify everything.
NTCoding/claude-skillz 290
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switch-persona
Quick persona switching. Triggers: 'switch persona', 'switch to X', 'become X'. Lists personas, reads selected file, switches immediately.
NTCoding/claude-skillz 290
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frontend-engineer
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.
siviter-xyz/dot-agent 8
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debugging
Root cause analysis and debugging protocols. Use when encountering errors, test failures, unexpected behavior, stack traces, or when code behaves differently than expected.
siviter-xyz/dot-agent 8
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code-review
Code review practices emphasizing technical rigor, evidence-based claims, and verification. Use when receiving code review feedback, completing tasks requiring review, or before making completion claims.
siviter-xyz/dot-agent 8
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cursor-best-practices
Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.
siviter-xyz/dot-agent 8
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create-skill
Guide for creating effective skills following best practices. Use when creating or updating skills that extend agent capabilities.
siviter-xyz/dot-agent 8
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semantic-git
Manage Git commits using conventional commit format with atomic staging. Always generate plain git commands before running them and offer to let the user run them manually.
siviter-xyz/dot-agent 8
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backend-engineer
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
siviter-xyz/dot-agent 8
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create-agents-md
Create AGENTS.md files for project-specific inline rules. Use when adding small, project-specific instructions that should be committed in repos.
siviter-xyz/dot-agent 8
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psi
Plan-spec-implement workflow for structured development. Only use when explicitly directed by user or when mentioned in project AGENTS.md file. Generates ephemeral plans in ~/.dot-agent/, applies specs to project docs, then implements test-first.
siviter-xyz/dot-agent 8
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typescript
TypeScript standards and best practices with modern tooling. Use when working with TypeScript or TypeScript React files.
siviter-xyz/dot-agent 8
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python
Python development guidelines and best practices. Use when working with Python code.
siviter-xyz/dot-agent 8
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media-processing
Media processing utilities for images, audio, and video using FFmpeg and ImageMagick. Use when working with media conversion, optimization, or batch processing tasks.
siviter-xyz/dot-agent 8
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software-engineer
Core software engineering principles for code style, documentation, and development workflow. Applies when editing code, working in software repositories, or performing software development tasks.
siviter-xyz/dot-agent 8
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cli-building
Build command-line interfaces with async-first design, composable commands, and proper output formatting. Use when creating CLI tools, commands, or interactive terminal applications.
siviter-xyz/dot-agent 8
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context-engineering
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques, compression strategies, memory architectures, multi-agent patterns, evaluation, tool design, and project development.
siviter-xyz/dot-agent 8
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bug-hunt-swarm
Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits.
Dimillian/Skills 2,423