CLAUDE CODE PLAYBOOKS
Ready-to-use workflows, templates & skills for your Claude Code projects
Copy-paste playbooks for Claude Code, Codex CLI, Windsurf, Cursor, Antigravity & more AI coding agents. Browse templates, skills and workflows to supercharge your development.
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claude /search file-organizationCopy CLAUDE.md
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cp playbook.md ~/project/CLAUDE.mdStart Using
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Playbooks(1269 total)
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Academic Research Skills for Claude Code: Install & Workflow
The academic-research-skills plugin (Imbad0202/academic-research-skills on GitHub): deep research, literature review, paper writing, citation checks, and peer review for Claude Code — with a project brief that keeps every /ars command on-topic.
Accessibility Engineering for Components
Build accessible UI components at the code level, not just the audit level — 14 concrete engineering principles (focus-visible over bare :focus, roving tabindex for composite widgets, inert-based modal focus trapping, WCAG 2.5.8 hit-area minimums), a common-mistakes table with fixes, and a severity-rated review format ending in a hard Block/Needs-changes/Approve verdict.
Adversary Emulation: MuddyWater
An intelligence-grounded, authorized purple-team emulation profile for MuddyWater (MITRE ATT&CK G0069), Iran's MOIS-linked cyber-espionage group — attribution, targeting, representative TTPs by ATT&CK tactic, emulation guidance mapped to generic red-team tooling, and paired detection/defense recommendations for every offensive technique, all under an explicit authorized-use caveat.
Adversary Emulation: Turla
An intelligence-grounded, authorized purple-team emulation profile for Turla (MITRE ATT&CK G0010), Russia's FSB-linked espionage group — attribution, distinctive TTPs (satellite C2 hijacking, steganographic email backdoors, parasitizing rival APT infrastructure), emulation guidance mapped to generic red-team tooling, and paired detection recommendations, under an explicit authorized-use and lab-only caveat for rootkit techniques.
AI Agent Red Team Methodology
A first-principles methodology for authorized red-team exercises against AI products, agents, MCP servers, skills, and repositories — capability and trust-boundary modeling, AI-specific attack hypothesis families (prompt injection, tool misuse, data leakage, SSRF), harmless-proof testing with canaries, one-variable-at-a-time adaptive iteration, and business-language evidence-based reporting.
Contribution PR Review
Review an external contributor's PR the way an open-source maintainer should — check automated bot security findings first (across every channel they might post to), watch specifically for suspicious AGENTS.md or workflow-permission changes, scale size and test-coverage expectations by contributor experience, and separate intent/scope alignment from code quality that bots already covered.
Datadog Error Triage to PR
Take Datadog Error Tracking issues from raw occurrence counts to a reviewable, tested PR — a five-class bug taxonomy that filters out infra noise and deploy-skew before ranking, a recency premium that catches fresh regressions early, a mandatory approval gate before any fix is written, and a test-first fix workflow that generalizes past the one reported occurrence.
Detecting Pharmacovigilance Signals
Mine FDA FAERS adverse-event data for drug-reaction disproportionality signals — PRR, ROR, EBGM, and IC (BCPNN) computed from a real 2x2 contingency table, working Python against the free public OpenFDA API, and the gotchas (404-means-zero, .exact required for phrase counting, small-count instability) that produce silently wrong numbers if missed.
React Native Video (v6 & v7)
Give correct react-native-video guidance by detecting the installed major version first — v6's imperative <Video> component and v7's completely different useVideoPlayer/VideoView player-object model share a name but no API, and mixing them up is the single most common mistake when helping with this library.
React Three Fiber Animation Reference
Animate React Three Fiber scenes correctly — useFrame fundamentals with render priority, full GLTF animation control via useAnimations (playback, crossfade, event listeners, speed-based blending between Idle/Walk/Run), @react-spring/three physics animations with gesture and chain integration, and the five performance rules that keep per-frame updates from triggering React re-renders.
Research Paper Structure Editor
Improve the structural clarity of ML/CV/NLP research papers before submission — a reverse-outlining check that maps every paragraph's topic sentence back to the section thesis, section-by-section guidance for Abstract through Conclusion, a five-dimension adversarial self-review, and a claim-evidence map that catches unsupported claims in the Abstract and Introduction before a reviewer does.
Reshape PR Commits
Turn a branch's messy WIP/fixup commit history into a clean, logically-grouped set of commits before review — proposed regrouping with explicit approval, git reset --soft plus staged re-commits instead of interactive rebase, and hard guardrails (feature branches only, force-with-lease only, never touch another author's commits).
Planning with Files
Persistent, file-based planning for multi-step AI-agent work — task_plan.md, findings.md, and progress.md on disk, a 2-action rule for capturing multimodal findings before they're lost, a 3-strike error protocol, and a 5-question reboot test to verify state survives a compaction.
PR Queue Triage
Clear a backlog of open pull requests before a release by classifying every PR into an evidence-based disposition — never by title — with a real git merge-tree test against the actual release branch, not the platform's often-wrong mergeable flag.
Project Status Artifact
Generate and publish an opinionated, tabbed project status page for work too big for one update — success criteria, a workstream sequence, next steps, risks — then refresh it in place on the same URL, reporting only what changed instead of re-narrating the whole project.
Reproducible Database Lookup
A methodology for querying public database APIs — scientific, regulatory, financial, or otherwise — so another agent or human can repeat exactly what you did: bounded calls, count reconciliation, identifier-conversion tracking, and untrusted-data handling for every response.
Project Graveyard: Autopsy Your Abandoned Side Projects
Scan local repos for dead side projects, autopsy each one from its git history, surface your personal death patterns, and pick the one corpse most worth resurrecting — then help ship it.
Podcast Production Team
A coordinated five-role agent team — researcher, scriptwriter, show-note editor, distribution manager, and reviewer — that produces a full podcast episode's content in one pass, with the team size scaling to match the actual request.
PR Review Toolkit
Six specialist reviewers — comments, tests, error handling, type design, general quality, and simplification — each triggered by name or automatically based on what changed in the diff.
Ralph Wiggum Autonomous Loop
Self-referential development loop that keeps Claude iterating on the same task until it hits a completion promise or an iteration cap — a Stop hook that blocks exit and re-feeds the same prompt.
Redesign Existing Projects: UI Audit and Upgrade
A design audit checklist that finds generic AI-look patterns in an existing codebase and fixes them without breaking functionality or migrating frameworks
PDF to Readable HTML
Convert a PDF into one self-contained, readable HTML file that preserves images, tables, charts, and reading order — optionally translating it while keeping every figure intact.
PPT Creator
Create professional slide decks from topics or documents — structured content with data-driven charts, speaker notes, and complete PPTX files, applying the Pyramid Principle and assertion-evidence storytelling.
Product Analysis
Multi-path parallel product analysis with cross-model test-time compute — spawn parallel agents to explore your product from multiple angles, then synthesize an actionable optimization plan.
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?Frequently Asked Questions
└ Everything you need to know about Claude Code workflows, templates and skills
Claude Code Playbooks are ready-to-use workflows, templates and skills that you copy-paste as a CLAUDE.md file in your project folder. They tell Claude Code exactly how to behave — what to build, how to structure files, what rules to follow — so you get consistent, high-quality results without writing complex prompts from scratch.
It takes three steps: browse the directory to find a playbook that matches your use case, copy the CLAUDE.md template into your project folder, then launch Claude Code. The agent reads the configuration automatically and follows the workflow. No setup, no configuration files, no coding required.
Not at all. These playbooks are designed for non-developers — marketers, analysts, founders, researchers, students, and anyone who wants to automate work with AI. Each template is a plain-text file you copy-paste. If you can create a folder and paste text into a file, you can use a playbook.
Yes. Every playbook on this directory is completely free to use, modify and share. The entire project is open source on GitHub under a permissive license. There are no paywalls, no premium tiers, no sign-up required.
Every playbook is a real-world use case that has been submitted and tested by the community before being curated on this directory. These are not theoretical templates — they are workflows that people actually rely on for their daily work, verified to produce reliable results.
Playbooks are built for Claude Code, but many templates and skills also work with other AI coding agents including Codex CLI, Windsurf, Cursor, Antigravity, Perplexity and more. The CLAUDE.md format is simple enough that most agents can interpret and follow the instructions.
Absolutely. The directory is community-driven and we encourage submissions. You can contribute a new playbook directly through our GitHub repository or use the submission form on the homepage. Share a workflow that works for you so others in the community can replicate and benefit from it.