Recently added
Plugins grouped by the day they were added to the directory, newest first.
Aug 27, 2026
- draft-ia2.8kstars
Information architecture — design navigation structure, content hierarchy, sitemap, and taxonomy for a product or feature set. Use when asked to "organize the navigation", "information architecture", "how should content be structured", "sitemap", "nav redesign", "where should X live", or "content hierarchy".
Claude Code1 skill - draft-flow2.8kstars
draft-flow is an open-source Claude Code plugin indexed from GitHub with 1 skill. Review its manifest and source before installing.
Claude Code1 skill - crest-roadmap2.8kstars
Build a product roadmap with sequenced bets and explicit tradeoffs. Use when asked to "build a roadmap", "prioritize the backlog strategically", "what do we build next quarter", "sequence our bets", "what should we focus on", or "product strategy for the next N months".
Claude Code1 skill - crest-recon2.8kstars
Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to "understand our strategy", "what's the current roadmap", "what OKRs do we have", "strategic context", or before starting any prioritization or roadmap work.
Claude Code1 skill - crest-okr2.8kstars
OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a metrics tree", or "what's our North Star".
Claude Code1 skill - crest-narrative2.8kstars
Strategic narrative — write a standalone strategy memo that frames product direction, bets, and rationale for a planning horizon. Use when asked to "write a strategy doc", "product vision", "strategic narrative", "company strategy memo", "planning memo", or "explain our product direction".
Claude Code1 skill - crest-compete2.8kstars
Competitive analysis ending in a clear positioning call — where to play, how to win. Use when asked to "analyze competitors", "competitive landscape", "how do we compare to X", "competitive positioning", "where should we play", "find our white space", or "who else does this".
Claude Code1 skill - cortex-recon2.8kstars
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".
Claude Code1 skill - cortex-prompt2.8kstars
Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".
Claude Code1 skill - cortex-model2.8kstars
Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".
Claude Code1 skill - cortex-integrate2.8kstars
Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
Claude Code1 skill - cortex-eval2.8kstars
Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".
Claude Code1 skill - atlas-report2.8kstars
Render agent findings as a styled HTML report in the browser. Use when asked for "full report", "detailed report", "show in browser", or when CLI output exceeds the 40-line budget.
Claude Code1 skill - atlas-recon2.8kstars
Documentation reconnaissance for takeover — find all docs, assess accuracy, freshness, coverage, and discoverability, and identify critical knowledge gaps. Use when asked "what docs exist", "documentation assessment", or "knowledge gaps".
Claude Code1 skill - atlas-present2.8kstars
Generate a polished HTML presentation page and Obsidian Canvas for big releases — new products, takeovers, major migrations. Non-technical audience. Use when asked to "present this", "release announcement", "show what we built", or "stakeholder update".
Claude Code1 skill - atlas-onboard2.8kstars
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Claude Code1 skill - atlas-map2.8kstars
Map the system architecture — read the codebase, identify services and connections, output a C4-level architecture map as Mermaid diagrams with component descriptions. Use when asked to "map the architecture", "system diagram", "how does this work", or "architecture overview".
Claude Code1 skill - atlas-changelog2.8kstars
Maintain per-repo and cross-repo changelogs — append structured entries after agent work. Use when asked to "log this change", "update changelog", "what changed", "change history".
Claude Code1 skill - atlas-adr2.8kstars
Write an Architecture Decision Record — document what was decided, why, what alternatives were considered, and what trade-offs were accepted. Use when asked to "write an ADR", "document this decision", or "why did we choose X".
Claude Code1 skill - apex-takeover2.8kstars
System takeover — take ownership of an existing codebase or inherited system. Use when "we acquired this", "previous team left", "take over this system", "inherited this codebase".
Claude Code1 skill - apex-status2.8kstars
CTO-level project status from git and codebase state. Use when asked "where are we", "project status", "what's done", or at the start of a work session.
Claude Code1 skill - apex-review2.8kstars
Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.
Claude Code1 skill - apex-recon2.8kstars
Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
Claude Code1 skill - apex-plan2.8kstars
Plan and scope a project — discovery, challenge assumptions, present S/M/L options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.
Claude Code1 skill - secops-team2.8kstars
Security Operations Team — 10 agents: Red, Blue, Hunt, Patch, Chain, Sast, Siem, Resp, Zero, Phish
Claude Code - revenue-team2.8kstars
Revenue team — 3 agents: Deal, Keep, Surge
Claude Code12 skills - product-team2.8kstars
Product team — 8 agents: Helm, Echo, Lumen, Draft, Form, Crest, Pitch, Surge
Claude Code - operations-team2.8kstars
Operations team — 4 agents: Mint, Folk, Keel, Brace
Claude Code - marketing-team2.8kstars
Marketing team — 3 agents: Ink, Buzz, Pitch
Claude Code12 skills - legal-team2.8kstars
Legal team — 10 agents: Brief, Clause, Bind, Frame, Shield, Scope, Audit, Cite, Lodge, Terms
Claude Code - infra-specialist-team2.8kstars
Infrastructure Specialist Team — 10 agents: Kube, Terra, Finop, Serv, Edge, Cache, Queue, Mesh, Multi, Chaos
Claude Code - full-team2.8kstars
Full tonone team — all 31 agents (Engineering + Product + Operations) with all 177 skills
Claude Code - engineering-team2.8kstars
Engineering team — 15 agents: Apex, Forge, Relay, Spine, Flux, Warden, Vigil, Prism, Cortex, Touch, Volt, Atlas, Lens, Proof, Pave
Claude Code - devx-team2.8kstars
Developer Experience Team — 10 agents: Guide, Sample, Mock, Schema, Port, Change, Onboard, Bench, Compat, Gate
Claude Code - design-team2.8kstars
Design Team — 10 agents: Hue, Grid, Glyph, Move, Wire, Mark, Cut, Axe, Tone, Copy
Claude Code - data-science-team2.8kstars
Data Science Team — 10 agents: Cast, Feat, Fit, Score, Drift, Vect, Tune, Plot, Clean, Eval
Claude Code - ai-ops-team2.8kstars
AI Operations Team — 9 agents: Deploy, Eval, Trace, Guard, Budget, Token, Prompt, Embed, Rank
Claude Code - tonone2.8kstars
Engineering + Product + Operations + Legal + Design + Data Science + Security Operations + Developer Experience + Infrastructure Specialist + AI Operations team — 100 agents as Claude Code specialists. Infrastructure, DevOps, backend, security, ML/AI, mobile, UX, analytics, growth, revenue, content, PR, customer success, finance, people, operations, support, contracts, compliance, IP, governance, regulatory, color systems, typography, motion, accessibility, design tokens, forecasting, feature engineering, model training, drift monitoring, vector search, LLM fine-tuning, pen testing, detection engineering, incident response, zero trust, API docs, SDK design, developer onboarding, Kubernetes, Terraform, FinOps, service mesh, edge computing, caching, queuing, multi-cloud, chaos engineering, model deployment, LLM evaluation, AI observability, guardrails, prompt engineering, embeddings, ranking, and more.
Claude Code50 skills - sow-generator2.8kstars
Generate professional Statements of Work for AI projects
Claude Code - shipwright2.8kstars
Describe your app in plain English — Shipwright builds, tests, and deploys it autonomously via a 9-phase pipeline.
Claude Code1 skill - roi-calculator2.8kstars
Calculate and present ROI for AI automation projects
Claude Code - n8n-workflow-designer2.8kstars
Design complex n8n workflows with AI assistance - loops, branching, error handling
Claude Code - make-scenario-builder2.8kstars
Create Make.com (Integromat) scenarios with AI assistance - visual automation design
Claude Code - hyperflow2.8kstars
Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.
Claude Code18 skills - discovery-questionnaire2.8kstars
Generate custom discovery questionnaires for AI agency prospects
Claude Code - agency-os2.8kstars
Run your work like an AI agency, from a single Notion board. Agents discuss, plan, and execute tasks in parallel with dependency ordering and model routing.
Claude Code1 skill - spinning-up-deep-rl27.6kstars
Knowledge base from "Spinning Up in Deep RL" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments.
Claude Code1 skill - deep-learning-book27.6kstars
Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, a patterns file and a cheatsheet index the whole book; every chapter carries a 'what changed after 2016' section, and a dedicated delta reference dates the text against 2026 practice with per-claim confidence levels — double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching, and self-supervised learning vindicating Chapter 15 while replacing its methods. Four stdlib-only tools make the book executable: a prerequisite-closed reading-path planner that refuses goals the 2016 book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks the regularization ladder and pushes 'shrink the model' last in the overparameterized regime, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. Deliberately a companion, not a compilation: the book is copyrighted, so nothing here reproduces its text — every chapter file is original synthesis linking to the official free chapter. Use when studying or teaching this book, planning a route through it, or checking whether one of its recommendations is still current.
Claude Code1 skill - html2wp1stars
Convert static HTML or buildable web projects into verified, editable WordPress block themes.
CodexClaude Code - 1f3d9-citylife1stars
An AI world where agents live without humans.
CodexClaude CodeAgent Plugins13 skills2 MCP servers