Sponsored by

Find leads on Reddit on auto pilot

Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

remediate-failures Correct failures, rule violations, and acceptance criteria gaps detected during QA review. Activate when qa-review returns FAIL. Fixes without redefining scope — loops until all quality gates pass.
Fr-e-d/GAAI-framework 123
create-prd Produce a lightweight strategic PRD that defines product vision, user problem, value hypothesis, success metrics, and scope boundaries. Activate only when starting a new product, launching a major initiative, or facing strategic uncertainty.
Fr-e-d/GAAI-framework 123
discovery-high-level-plan Transform vague or high-level human intent into a governed Discovery action plan. Activate when intent is unclear, broad, or when multiple discovery steps are required before any artefact is created.
Fr-e-d/GAAI-framework 123
generate-epics Translate product intent or a PRD into a small set of outcome-driven Epics (3–7 max). Activate when starting a new product, adding a significant feature domain, or breaking down a PRD into actionable user outcomes.
Fr-e-d/GAAI-framework 123
generate-stories Translate a single Epic into clear, actionable User Stories with explicit acceptance criteria. Activate when an Epic is defined and work needs to be prepared for Delivery execution.
Fr-e-d/GAAI-framework 123
refine-scope Iteratively refine Discovery artefacts (plans, epics, stories) when feedback, ambiguity, or uncertainty is detected. Activate when artefacts are incomplete, acceptance criteria are missing, or human feedback highlights gaps.
Fr-e-d/GAAI-framework 123
review-story-alignment Adversarial review of generated stories against the Discovery Session Brief, referenced DECs, and Epic DoR. Detects contradictions, omissions, and intent drift BEFORE stories reach Delivery. Produces a structured verdict (PASS/FAIL) with specific findings per story. Triggers after generate-stories, before backlog registration as refined.
Fr-e-d/GAAI-framework 123
validate-artefacts Validate that all Discovery artefacts (Epics, Stories) are clear, governed, complete, and safe to pass into Delivery. Activate after generating Epics or Stories and before any Delivery planning. This is the mandatory Discovery → Delivery gate.
Fr-e-d/GAAI-framework 123
init-deep Initialize or migrate to nested CLAUDE.md structure for progressive disclosure. Claude auto-loads CLAUDE.md from any directory it reads, enabling true contextual guidance. Triggers on: '/init-deep', 'deep init', 'initialize deeply', 'setup claude deeply', 'refactor claude.md', 'migrate claude.md', 'nested claude', 'progressive disclosure'.
TechDufus/oh-my-claude 122
pr-creation MUST be used when creating pull requests. Handles context gathering, title generation (conventional commit format), body formatting, and PR creation via GitHub CLI. Creates PRs as drafts by default. Triggers on: 'create PR', 'open PR', 'ready for review', 'push for PR', 'send for review'.
TechDufus/oh-my-claude 122
ralph-loop-init Transform approved plans into ralph loop infrastructure. Triggers on: '/ralph-loop-init', '/ralph-init', 'setup ralph loop', 'generate ralph loop'. Creates .ralph/ directory with prd.json, loop.py, CLAUDE.md, and supporting files.
TechDufus/oh-my-claude 122
ralph-plan Structured PRD generation with interview, research, and approval workflow. Triggers on: '/ralph-plan <topic>', 'create prd', 'generate prd', 'plan this'. Creates comprehensive Product Requirements Document via interview and research.
TechDufus/oh-my-claude 122
receiving-code-review How to handle code review feedback with technical rigor. Use when receiving review comments from code-reviewer agent, PR reviews, or external feedback. Triggers on: 'review feedback', 'address review', 'fix review comments', 'code review response'.
TechDufus/oh-my-claude 122
tdd Systematic TDD methodology for writing tests first. Use when implementing features or fixes with OMC_TDD_MODE enabled, when unsure how to structure tests, or when test-first discipline needs reinforcement. Triggers on: 'tdd', 'test first', 'test driven', 'red green refactor'.
TechDufus/oh-my-claude 122
verification Evidence-based verification methodology before claiming work is complete. Use when about to claim work is done, before committing, before creating PRs, or when verification-reminder hook fires. Triggers on: 'verify', 'verification', 'is it done', 'complete', 'ready to merge'.
TechDufus/oh-my-claude 122
worktree Git worktree automation for isolated feature development. Triggers on: '/worktree create', '/worktree list', '/worktree remove'. Creates isolated working directories with automatic setup.
TechDufus/oh-my-claude 122
writing-skills Methodology for creating effective skills using TDD principles. Use when creating new skills, editing existing skills, or authoring plugin components. Triggers on: 'create skill', 'write skill', 'new skill', 'skill authoring'.
TechDufus/oh-my-claude 122
debugger Systematic debugging methodology for diagnosing failures and root cause analysis. Triggers on: 2+ failed fix attempts, 'ultradebug', 'uld', debugging in circles, complex system failures, intermittent bugs.
TechDufus/oh-my-claude 122
git-commit-validator MUST be used for ANY git workflow that involves committing code. This includes explicit commit requests AND implicit ones like 'ship it', 'wrap it up', or finishing implementation work. Handles staging, message generation, validation, and commit execution with conventional commit format.
TechDufus/oh-my-claude 122
AgentDB Advanced Features Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
spencermarx/open-code-review 126
AgentDB Learning Plugins Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
spencermarx/open-code-review 126
AgentDB Memory Patterns Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
spencermarx/open-code-review 126
AgentDB Performance Optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
spencermarx/open-code-review 126
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
spencermarx/open-code-review 126