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.
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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.
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GitHub
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
GitHub
agent-ops-tools
Detect available development tools at session start. Saves to .agent/tools.json and warns about missing required tools. Works with or without aoc CLI installed.
GitHub
agent-ops-implementation
Implement only after a validated/approved plan. Use for coding: small diffs, frequent tests, no refactors, stop on ambiguity.
GitHub
agent-ops-project-sections
Identify and map different sections of a software project (API, frontend, database, CLI, domain). Use for context scoping and architecture documentation.
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-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-debugging
Systematic debugging approaches for isolating and fixing software defects. Use when something isn't working and the cause is unclear.
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-housekeeping
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
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
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-context-map
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
GitHub
agent-ops-reality-audit
Aggressive evidence-based audit to verify project claims match implementation reality
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-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-selective-copy
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
GitHub
agent-ops-branch-workflow
Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.
GitHub
agent-ops-git
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit user confirmation.
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-create-skill
Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.
GitHub
agent-ops-interview
Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wait for response, record answer, then proceed to next question.
GitHub
agent-ops-optimize-instructions
Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size while preserving information.
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