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General-Purpose Claude Skills (Page 50 of 361)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

21,631 skills · updated 2026-05-03 · showing 2941–3000 of 21,631 by quality score

Create/update .agent/constitution.md. Use when commands/boundaries/constraints must be confirmed before baseline or code changes. Draft v0 from repo evidence, then interview user.
Score 70/100
Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.
Score 70/100
Create new AgentOps skills via interactive interview. Supports from-scratch and clone modes with tiered complexity.
Score 70/100
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
Score 70/100
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
Score 70/100
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection
Score 70/100
Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.
Score 70/100
Analyze broad frontend design requests and route them to the correct local UI skill after classifying intent and maturity.
Score 70/100
Manage git operations safely. Includes stale state detection, branch/commit management. Never pushes without explicit user confirmation.
Score 70/100
Analyze git repository for insights: contributor stats, commit patterns, branch health, and change analysis. Outputs actionable reports.
Score 70/100
Manage git worktrees for isolated development. Create, list, remove, and work in worktrees.
Score 70/100
Interactive workflow guide. Use when user is unsure what to do next, needs help navigating AgentOps, or wants to understand available tools.
Score 70/100
Comprehensive project hygiene: archive issues, validate schema, clean clutter, align docs, check git, update ignores.
Score 70/100
Extract, plan, or propose implementation details at configurable depth levels (low/normal/extensive). Outputs to reference files for team discussion and handoff.
Score 70/100
WHAT: Generate Codex-authored HTML insights from local Codex sessions and telemetry. WHEN: Use when the user asks for Codex usage analytics, workflow patterns, session summaries,…
Score 70/100
Install AgentOps into a new or existing project. Handles .agent/ setup and .github/ merging.
Score 70/100
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…
Score 70/100
Migrate a project into another, ensuring functionality and validating complete content transfer. Use for monorepo consolidation, template upgrades, or codebase mergers.
Score 70/100
MkDocs documentation site management: initializing, updating, building, and deploying
Score 70/100
Optimize agent instruction files by extracting sections into separate files and referencing them. Reduces context size while preserving information.
Score 70/100
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
Score 70/100
Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.
Score 70/100
Aggressive evidence-based audit to verify project claims match implementation reality
Score 70/100
Aggressive evidence-based audit to verify project claims match implementation reality
Score 70/100
Handle failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck.
Score 70/100
Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.
Score 70/100
Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md.
Score 70/100
Create clean git branches from feature work, excluding agent-ops files. Use for PR preparation.
Score 70/100
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against…
Score 70/100
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against…
Score 70/100
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Score 70/100
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Score 70/100
Create, refine, and manage issues. Use for creating new issues from loose ideas, refining ambiguous issues, bulk operations, or JSON export.
Score 70/100
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.
Score 70/100
Use when you need focused cleanup audits, safe removals, scoped quality-risk reductions, and evidence-backed cleanup plans before touching code.
Score 70/100
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.
Score 70/100
Multi-agent task orchestration for Claude Code. When given multiple tasks to execute, use this
Score 70/100
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Score 70/100
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Score 70/100
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and…
Score 70/100
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls.
Score 70/100
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
Score 70/100
Expert agent organizer specializing in multi-agent orchestration, team assembly, and workflow optimization.
Score 70/100
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence.
Score 70/100
Convert the canonical markdown+JSON deliverable of any SfSkills runtime agent into Excel, PDF, CSV, Notion card, ServiceNow ticket, or similar downstream format WITHOUT polluting…
Score 70/100
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
Score 70/100
Expert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing.
Score 70/100
中文优先:用于智能体支付x402相关任务,帮助识别、设计、实现或验证对应工作流。English keywords: Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools.
Score 70/100
Track and report agent invocation metrics including usage counts, success/failure rates, and completion times.
Score 70/100
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
Score 70/100
Expert performance monitor specializing in system-wide metrics collection, analysis, and optimization.
Score 70/100
Agent skill for performance-optimizer - invoke with $agent-performance-optimizer
Score 70/100
Composition de pipelines de sous-agents où la sortie d'un agent alimente l'entrée du suivant. Se déclenche avec "pipeline agent", "chaîne d'agents", "agent chain", "agent…
Score 70/100
Agente de planejamento — lê, pesquisa e constrói planos detalhados antes de qualquer implementação. Opera em modo somente leitura: não edita código, apenas produz planos em…
Score 70/100
Workspace bootstrap for the agent-plus plugin collection. Creates `.agent-plus/` (one shared dir with skill-feedback), reports which sibling-plugin env vars are set (names only),…
Score 70/100
The meta plugin for the agent-plus framework. Workspace bootstrap, env-var readiness, identity cache, marketplace lifecycle, extensions.
Score 70/100
Gestion de pools de sous-agents pré-instanciés pour performance et réutilisation. Se déclenche avec "pool agent", "agent pool", "pool de sous-agents", "pre-allocated agents",…
Score 70/100
Evaluates PRs containing agent changes using specialized agents to analyze quality, compliance, and improvement value.
Score 70/100
Write effective system prompts for TD AI agents. Covers role definition, constraint specification, output formatting, tool usage instructions, and prompt structure patterns.
Score 70/100
Optimisation systématique des prompts d'agents pour améliorer performance et fiabilité. Se déclenche avec "optimiser prompt agent", "agent prompt", "améliorer mon agent", "prompt…
Score 70/100
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