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GitHub

search-memory

X-McKay

Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory,...

GitHub

refresh-metrics

bacchus-labs

Auto-update status metrics across governance documents - scans MCP issues/specs to calculate current counts and percentages, updates README files and NEXT_STEPS with accurate data

GitHub

systematic-debugging

bacchus-labs

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...

GitHub

implement

bacchus-labs

Autonomously implement tasks from specs, plans, or issues using subagents with TDD and code review

GitHub

validating-roadmap

bacchus-labs

Validates specification consistency, identifies implementation gaps, reviews roadmap coherence. Ensures documentation aligns, tasks are realistic, and dependencies are clear.

GitHub

executing-plans

bacchus-labs

Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

GitHub

sdd-troubleshooting

windschord

SDDスキルで作成したシステムの動作不良や問題について、問題事象を確認し、根本原因を分析し、仕様と照らし合わせて修正方針を立て、ユーザー承認後にタスク分割を行います。修正方針は必ずユーザーの合意を得てから次のステ...

GitHub

fatigue-analysis

vamseeachanta

Fatigue analysis for offshore structures including S-N curves, rainflow counting, Miner's rule, and DNV standards

GitHub

detect-metric-anomaly

X-McKay

Analyze a metric for statistical anomalies using z-score analysis and threshold checking. Detects spikes, drops, and trends. Use for proactive monitoring and early warning. Keywords: anomaly, detection, metric,...

GitHub

verification-before-completion

bacchus-labs

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...

GitHub

dispatching-parallel-agents

bacchus-labs

Use when facing 3+ logically independent failures (different features, different root causes) that can be investigated concurrently - dispatches multiple agents to investigate in parallel; requires either paral...

GitHub

requesting-code-review

bacchus-labs

Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches code-review subagent to review implementation against plan or requirements before proceed...

GitHub

subagent-driven-development

bacchus-labs

Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

GitHub

obra-receiving-code-review

faulkdev

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...

GitHub

obra-using-git-worktrees

faulkdev

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

GitHub

obra-finishing-a-development-branch

faulkdev

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

GitHub

knowledge

thiscantbeserious

Project-specific technical knowledge for AGR development. You MUST actually READ the reference files (not just acknowledge them) before doing related tasks. Before using any tool or command, check if a referenc...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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