Claude Code and Codex plugins their authors filed under "workflow". All categories.
PA / SWE / Tester / PR Reviewer / On-Call sub-agents plus /squid-plan, /squid-implement-task, /squid-implement-night, /squid-review, /squid-review-ci, /squid-scaffold, and supporting workflow skills.
15 skills · 5 agents
Real-time cost tracking, cache efficiency, model comparison, smart alerts, web dashboard, and session analytics
6 commands
Spec-Driven Development pipeline: 23 atomic Socratic skills (survey/scaffold → spec → ux-flows → design → data-model → api → screens → tasks → tests → implement → review → ship) + a living decomposition roadmap (steps + dependency graph + parallel-safe execution waves) above the per-feature flow + 10 subagents, plus a TDD implementation engine with agent-team and dynamic-workflow modes. The Q&A skills are depth-tunable (easy/medium/hard); the ideation analyses (researcher/strategist/analyst/devil's-advocate) run as named subagents gated by that dial; diagrams are confirmed in prose; and every acceptance criterion is covered end-to-end. Surface-aware: declare target surfaces at design (backend/web/mobile/desktop/CLI/worker/library, as C4 containers); downstream gates the `ui` task layer, UI-driven flows, and frontend test tiers. UI features get a design pipeline (auto-skipped for backend-only work): design-system (the committed canon — Figma MCP / Pencil MCP / code-markdown; on pencil it also bootstraps and seeds the .pen library), ux-flows (user flows + SCR inventory) and screens (the per-state manifest tasks/implement/review build against, reuse-first). Every stage prints a copy-ready handoff (what changed + files to review + `/clear` + the next command).
23 skills · 10 agents
A collection of agents, skills, hooks, commands, and rules for AI Agentic development workflow
7 skills · 1 agent
Rigorous agent workflows ported from Lauren Tan's pstack (github.com/cursor/plugins). /pstack:poteto-mode matches a task to a playbook and routes through how, why, architect, arena, swarm, interrogate, unslop and 24 principle skills.
50 skills · 2 agents
Lean sprint workflow. Nine commands (init/research/plan/execute/review/retro/uat/advisor/triage), eight agents, .jira/ state, GitHub issue + PR integration, Nyquist validation by default.
13 commands · 9 agents
Acceptance test playbook. Three runtimes (bash, hurl, agent-browser), three modes (design, run, triage). Project-coupled, sprint-agnostic. Composes with jira:uat.
6 commands
Run a 25-minute focus countdown with pause, reset, and a toast.
Time a task with start, pause, and lap markers.
Record likely test, lint, and build commands and their tool status.
Three skills about evidence: checks that pass because nothing ran, proofs that cover something other than what you changed, and destructive sweeps that delete what they could not identify. No product, no setup, no dependencies.
3 skills
Memory for coding agents: a strict-tree wiki, a findings ledger, a taskboard and usage-aware long runs, enforced by hooks.
5 skills
66 skills wired into a 5-layer mesh — 248 connections + 45 signals, adaptive routing, mesh analytics, logic preservation, and native lifecycle hooks. The compiler targets 13 runtimes including Claude Code and OpenAI Codex.
66 skills · 1 command · 66 agents · hooks
Comprehensive Jira integration with auto-detection of issue keys. Two specialized skills: jira-communication for API operations and jira-syntax for wiki markup validation and templates.
3 skills · hooks
Agentic Skill for Matrix chat communication. Send messages to Matrix rooms on behalf of users via access token authentication. Works with any Matrix homeserver.
3 skills · 1 command
Comprehensive Jira integration with auto-detection of issue keys
3 skills · hooks
The most comprehensive Claude Code plugin — 36 agents, 142 skills, 68 legacy command shims, and production-ready hooks for TDD, security scanning, code review, and continuous learning
157 skills · 72 commands · 38 agents · 6 MCP servers · hooks
Shared code review workflows, verification protocol, git commands, feedback handling, and skill tooling
19 skills
対話コンテキストのexport/importスキル。会話で共有された目的・意図・設計判断・制約条件を .dev/contexts/ に書き出してPRコメントにも投稿し、別セッションやレビューで親子PRのコメント欄からも探して読み込む。1対多のコンテキスト共有により、複数の子PRをまとめた親PRのレビューやコードの自動改善に便利。
2 skills
Software Factory 2026秋の開発フローをsessionに適用するmode skill。着手前に不明点をユーザーに質問、変更が一段落したらcodexでbug確認、draft PR作成、対話コンテキストexport、インラインレビューコメントの草稿、ユーザーの指示でsanity-review、ready for review後のsquash and mergeのcommit message草稿の提示、という進め方を定める。開発の開始時にユーザーが手動で起動する。
2 skills
Claude Codeのremote session(claude --rc)をtmux内に新しく起動し、URLを伝えるスキル。remote controlで繋いだsessionに「〇〇のclaude session作って」と頼むと、別のディレクトリで新しいsessionを作れる。
1 skill
Turn directories of markdown files into structured workflows operated by AI agents
13 skills · 2 agents
The String runtime as a Claude Code plugin. Installs the `string` MCP server (via npx — no manual install) and a skill that walks Claude through installing apps, calling actions, browsing pages as markdown, and recovering from errors.
3 skills · 1 MCP server
Solo rapid ideation method based on Google Design Sprint Crazy 8's exercise. Generates 8 distinct solution ideas in 8 minutes through rapid-fire ideation or sketch documentation.
1 skill
Foundational problem framing for design sprints and product strategy. Based on Google Design Sprint 'Understand' phase methodology.
1 skill
Structured framework for working with AI through expansion, contraction, and documentation phases
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, 16 on-demand skills (incl. /repo-doctor — AI-readiness audit with code↔docs drift detection — and /refresh-context-map for the v1.8.0 smart-context-surfacing hook), ADR + session-log conventions, portable statusline. Complements other skills-based plugins, not a replacement.
16 skills · 1 command · 3 agents · hooks
Harness-native ECC operator layer - 67 agents, 277 skills, 93 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 93 commands · 67 agents · 1 MCP server · hooks
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
1 skill
Complete AI-augmented engineering framework: Requirements traceability (REQ-XXXX), independent Build Agent + Red Team Verifier, multi-cycle lifecycle management, compliance-ready artifacts (ISO 9001, ISO 27001, GxP)
49 skills