Claude Code Promts Skills

by Rtur2003• 56•• Scanned•Claim this listing•Request removal
Developer Toolsclaudeclaude aiclaude codeclaude code pluginclaude code skills

Production-ready prompt library for Claude coding agents. APEI methodology, ~35 specialist prompts, current Claude Code coverage, plus a /find-prompt skill that routes any task to the right prompt.

Claude Code Promts Skills is an open-source agent skill by Rtur2003, written mainly in Python, with 56 GitHub stars and the MIT license. Its code was last updated Sep 22, 2026.

Claude Code Prompts

Production-ready prompt library for Claude AI and coding agents, built on the APEI cycle: Analyze → Plan → Execute → Iterate.

Repository default is English-only and remains enforced to keep quality, tone, and contribution standards consistent across all prompts.


Start Here

  1. In Claude Code, run /find-prompt <your task> — it routes any task to the exact prompt(s) to load. Or open REPOSITORY-MAP.md for manual navigation.
  2. Use Agent System as the core prompt.
  3. Add specialist prompts by tier — 1 for a single-domain task (the default), 2 only when the task spans two genuinely independent domains, Multi-Agent Orchestration when units of work need isolation. See Composition Tiers.
  4. Validate outputs against explicit success criteria.

Six skills ship in .claude/skills/ — they load automatically when you run Claude Code from this repo:

SkillUse whenFile
/find-promptRouting any task to the right prompt(s) — the main entry pointView
deterministic-checksBefore committing / opening a PR — zero-model-cost scan for conflict markers, live-looking credentials, debug leftovers, untracked TODOs, oversized filesView
changelog-from-commitsCutting a release — Conventional Commits parsed into a categorized changelogView
doc-link-auditBefore publishing docs — internal links, heading anchors, and orphan pages, GitHub-accurate slug matchingView
skill-auditReviewing a skills directory — frontmatter validity, description quality (SDO), body size, cross-scope name collisionsView
capability-auditEvaluating a GitHub-hosted skill, plugin, MCP server, or agent toolkit before installation — read-only repository evidence without cloningView

These are operational skills rather than catalog-only examples: five include executable scripts, while /find-prompt is the routing layer. See Repository Structure below. This repo is also an installable plugin (.claude-plugin/plugin.json):

claude --plugin-dir /path/to/Claude-Code-Promts     # try it for one session
claude plugin validate /path/to/Claude-Code-Promts/.claude-plugin/plugin.json
claude plugin validate /path/to/Claude-Code-Promts/.claude-plugin/marketplace.json

The repository also ships a marketplace manifest, so it can be installed without remembering a local --plugin-dir path:

/plugin marketplace add Rtur2003/Claude-Code-Promts-Skills
/plugin install claude-code-prompts@claude-code-prompts

Marketplace installation is intentionally left as a user action because it changes Claude Code's persistent plugin state.

Installing as a plugin additionally wires two deterministic safety hooks (block destructive commands, block writing live-looking credentials) — see Claude Code Plugins.

Top 5 Outcome Scenarios

ScenarioPrompt Setup
General autonomous codingAgent System
Debugging production issuesAgent System + Debugging & Troubleshooting
Security-sensitive changesAgent System + Security Audit
Architecture decisionsAgent System + Architecture Patterns
Complex multi-agent executionAgent System + Multi-Agent Orchestration

One Decision Tree + Token Budget

Use the single-source selector here: Prompt Selector Guide.

Rule: start minimal (Tier 1 — one specialist), move up a tier only if the task's checklist visibly can't be covered by what's loaded.


Modern Claude Code Stack

Coverage of the current Claude Code / Claude ecosystem (models, Skills, Plugins, subagents, MCP, hooks, dynamic workflows, the Agent SDK). Read REPOSITORY-MAP.md to jump straight to what you need.

TopicPrompt / Guide
Pick a model and effort levelModel Selection Guide
What a current Claude Code build can doNative Features Guide
Write / debug Agent SkillsAgent Skills
Connect an external system via MCPMCP Integration
Bundle and distribute a pluginClaude Code Plugins
Native subagents + dynamic workflowsMulti-Agent Orchestration
Automate on lifecycle eventsHooks & Automation
Project .claude/ config and settingsClaude Code Workflow
Thinking depth, effort, plan modeThinking & Planning
Build an agent programmaticallyAgent SDK Guide
The sources behind this library + cross-tool AGENTS.md + adjacent agentsReference Resources
Evaluate skills, plugins, MCP servers, and agent toolkitsCapability Ecosystem Discovery
Research consequential questions beyond codingEvidence-Driven Research

Active Agent Portfolio (Outcome-First)

claude-agent-system-prompt.md is the operational source of truth. Full table with token counts and the task router: prompts/english/agents/INDEX.md.

PromptUse whenDo not use whenFile
Agent System ⭐Any autonomous taskYou only need a tiny cheat sheetView
Quick ReferenceToken budget is extremely tightYou need deep specialist logicView
Agent Skills ⭐Writing or debugging a Claude skillNo skill authoring involvedView
MCP Integration ⭐Connecting Claude to a DB/browser/APINo external system involvedView
Claude Code PluginsPackaging skills/agents/hooks to shareNothing to distributeView
Multi-Agent Orchestration ⭐Parallel agents, workflows, audits, reviewSingle-agent linear taskView
Hooks & AutomationEnforcing something on a lifecycle eventAdvisory guidance is enoughView
Code ReviewReviewing a PR/change setWriting new feature code from scratchView
Security AuditThreat/risk exposure is possibleTask has no security relevanceView
RefactoringImproving maintainability safelyIncident response under active outageView
TestingBuilding or fixing test strategyYou only need non-test docsView
DocumentationProducing technical docsYou need runtime diagnosisView
PerformanceLatency/throughput/cost bottlenecksProblem is primarily correctnessView
Git & VCSWorkflow, branching, commit hygieneApp logic decisionsView
Accessibility AuditWCAG and accessibility complianceBackend-only infrastructure changeView
Migration & UpgradeFramework/runtime/DB migrationsGreenfield implementationView
Monitoring & ObservabilityLogs, metrics, traces, alertsPure UI copy/content taskView
Debugging & TroubleshootingRoot-cause and incident diagnosticsYou are designing architecture from zeroView
Claude Code Thinking & Planning ⭐Effort levels and planning depthNon-Claude environments onlyView
Claude Code WorkflowCLAUDE.md, rules, settings, permissionsYou only need algorithm designView
Technology Stack ⭐Selecting tools/librariesStack is fixed and approvedView
Architecture PatternsSystem design and trade-offsSmall local bug fixView
Full-Stack DevelopmentEnd-to-end app deliverySingle-layer scoped workView
AI & LLM IntegrationRAG/agents/model integrationNo AI component existsView
API Design & GraphQLAPI contract/schema designUI-only styling taskView
Cloud & InfrastructureIaC/K8s/multi-region/costLocal script-only changesView
Data EngineeringPipelines/streaming/data qualityCRUD app without data platform scopeView
Compliance & GovernanceRegulated/security governance scopePrototype with no compliance requirementsView
Monorepo & Complex ProjectsMulti-package cross-cutting workSmall standalone repositoryView
Error Handling & ResilienceFault tolerance and degradationStatic content editing onlyView
Developer Experience & ToolingLinting/hooks/onboarding/DXFeature logic changes onlyView
Database Design & OptimizationSchema/index/query tuningNo persistent data layer existsView
UI/UX & Design SystemsDesign tokens/components/themingAPI/backend-only taskView
Evidence-Driven ResearchSource-verified research, comparisons, and consequential recommendationsA primary source already answers a simple factView

Common Combinations

Start with Agent System, then add specialists per the Composition Tiers — most rows below are Tier 1 (one specialist); rows with two specialists or Multi-Agent Orchestration are Tier 2/3 and need a stated reason for the extra load. These pairings recur:

TaskSetup
Add a feature to a web appAgent System + Full-Stack Development (or Web Development project type)
Design or change an APIAgent System + API Design & GraphQL
Diagnose a production incidentAgent System + Debugging & Troubleshooting
Security-sensitive changeAgent System + Security Audit
Architecture decisionAgent System + Architecture Patterns
Pick the stack for a new projectAgent System + Technology Stack
Large migration or repo-wide refactorAgent System + Migration & Upgrade + Multi-Agent Orchestration
Add test coverage to legacy codeAgent System + Testing
Schema or query performanceAgent System + Database Design & Optimization
Set up Claude Code for a repoClaude Code Workflow (+ Agent Skills / Hooks & Automation / MCP Integration as needed)
Build an AI featureAgent System + AI & LLM Integration + Model Selection Guide
Monorepo coordinationAgent System + Monorepo & Complex Projects

Archived (Merged) Prompts

These were removed from the active catalog to reduce overlap:

  • Error Analysis
  • Project Workflow
  • Integration Guardian
  • Claude Code Token Optimization
  • Prompt Chaining

See Archive Index.


Quality Gate (Repository Standard)

Every active prompt must include:

  • ## Role
  • ## Protocol / Core Loop
  • ## Phases
  • ## Remember (final section)

And must follow No Vague Advice:

  • each recommendation must end with a concrete decision, tool, or validation step.

Use the measurable review checklist: Prompt Review Checklist


90-Day Improvement Cycle

  • Monthly: usage, token, and link hygiene review
  • Quarterly: keep/merge/archive portfolio review and active catalog cleanup

Guide: Portfolio Maintenance Guide


Repository Structure

prompts/
└── english/
    ├── INDEX.md          # Global router: task -> file
    ├── agents/           # Active agent prompts + Claude Code coverage
    │   ├── INDEX.md
    │   └── archive/      # Archived prompts removed from active catalog
    ├── base/             # Foundation prompt
    ├── project-types/    # Domain-specific prompts
    ├── examples/         # Real-world usage examples
    └── workflows/        # Model selection, native features, Agent SDK,
        └── INDEX.md      #   APEI, setup, selection, troubleshooting, maintenance

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