agent-ops-retrospective
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.
浏览 weholt 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
110收录技能的仓库 Stars 合计
32仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.
Extract visual styling from screenshots to create reusable ScriptCast slide templates, with validation for bundled templates.
Aggressive evidence-based audit to verify project claims match implementation reality
Capture loosely structured ideas, enrich with research, and create backlog issues. Use when user has a raw concept that needs fleshing out.
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
Ruthlessly audit project features for justification. Challenge every feature to prove its value with evidence or face removal. Uses MCP tools for research.
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listings, and optional flow diagrams.
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operations, or JSON export.
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listings, and optional flow diagrams.
Migrate a project into another, ensuring functionality and validating complete content transfer. Use for monorepo consolidation, template upgrades, or codebase mergers.
Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
MkDocs documentation site management: initializing, updating, building, and deploying
MkDocs documentation site management: initializing, updating, building, and deploying
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quality gates pass.
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
Bidirectional sync between agent-ops issues and GitHub Issues
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。