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内容与媒体 AI 技能

发现 内容与媒体 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 内容与媒体

显示第 41,617–41,640 个,共 86,635 个

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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...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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