GitHub
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.
weholt AI Skills
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Statistiques de l’auteur
Skills indexés
110Étoiles des dépôts des skills indexés
32Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
sc-create-slide-template
Extract visual styling from screenshots to create reusable ScriptCast slide templates, with validation for bundled templates.
GitHub
agent-ops-reality-audit
Aggressive evidence-based audit to verify project claims match implementation reality
GitHub
agent-ops-idea
Capture loosely structured ideas, enrich with research, and create backlog issues. Use when user has a raw concept that needs fleshing out.
GitHub
agent-ops-git-analysis
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
GitHub
agent-ops-report
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.
GitHub
agent-ops-planning
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
GitHub
agent-ops-context-map
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
GitHub
prove-your-worth
Ruthlessly audit project features for justification. Challenge every feature to prove its value with evidence or face removal. Uses MCP tools for research.
GitHub
agent-ops-focus-scan
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
GitHub
agent-ops-plan-preview
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listings, and optional flow diagrams.
GitHub
agent-ops-create-python-project
Create a plan and issues for implementation of a production-ready Python project with proper structure, tooling, and best practices.
GitHub
agent-ops-tasks
Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operations, or JSON export.
GitHub
agent-ops-plan-preview
Transform implementation plans into concise stakeholder-friendly summaries with file change overviews, component listings, and optional flow diagrams.
GitHub
agent-ops-migrate
Migrate a project into another, ensuring functionality and validating complete content transfer. Use for monorepo consolidation, template upgrades, or codebase mergers.
GitHub
agent-ops-git-story
Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.
GitHub
agent-ops-docs
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
GitHub
agent-ops-housekeeping
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
GitHub
agent-ops-mkdocs
MkDocs documentation site management: initializing, updating, building, and deploying
GitHub
agent-ops-mkdocs
MkDocs documentation site management: initializing, updating, building, and deploying
GitHub
agent-ops-validation
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quality gates pass.
GitHub
agent-ops-selective-copy
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
GitHub
agent-ops-git-worktree
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
GitHub
agent-ops-github
Bidirectional sync between agent-ops issues and GitHub Issues
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.