By hatch3r
Set up a structured, multi-agent development workflow with quality gates, board management, and session continuity across AI coding tools. Automate issue tracking, code review, testing, accessibility, security, and release processes through specialized agents and commands.
Azure DevOps-specific platform procedures for board-pickup. Covers az CLI commands for work item listing, status updates, collision detection, PR creation, and state transitions.
Multi-issue sub-agent delegation protocols for board-pickup Steps 6b (epics) and 6c (batch). Covers level-by-level parallel execution, shared context, and quality pipelines.
Single-issue sub-agent delegation protocol for board-pickup Step 6a. Covers research, implementation, and quality pipeline for standalone issues.
GitHub-specific platform procedures for board-pickup. Covers gh CLI commands for issue listing, status updates, collision detection, PR creation, and label transitions.
GitLab-specific platform procedures for board-pickup. Covers glab CLI commands for issue listing, status updates, collision detection, MR creation, and label transitions.
System architect who designs architecture, creates ADRs, analyzes dependencies, designs APIs and database schemas, and evaluates architectural trade-offs. Use when making architectural decisions, designing new systems, or evaluating design trade-offs.
Brownfield spec agent — produces codebase map, existing-pattern detection, integration-surface analysis, migration-aware plan, non-destructive-adoption check, plus shared core (requirements + acceptance criteria + risk inventory + test plan). Use when adding to or migrating an existing codebase.
CI/CD specialist who monitors CI pipeline runs, diagnoses failures, and suggests fixes. Use when CI fails, when waiting for CI results, or when investigating flaky tests.
Context-aware rules engine that applies coding standards based on file type, location, and project conventions. Use when enforcing project rules on save or reviewing files against established patterns.
Authors user-tier custom artifacts (agents, skills, rules, commands, hooks) under .hatch3r/overrides/. Validates frontmatter schema, runs strict + gentle quality gates, and writes the artifact only when all strict gates pass.
Runs a WCAG AA accessibility audit with findings and fixes across 7 scan categories (keyboard, contrast, ARIA, reduced motion, screen reader, high contrast, automated axe). Use when auditing accessibility or verifying WCAG compliance.
Scaffolds the ad-hoc Tier >= 2 orchestration protocol -- Per-Turn Pipeline-State Header, implementer delegation plan, End-of-Turn Delegation Attestation. Use for a maintainer multi-phase task with no registered command to avoid bypass mode.
Eval-driven development workflow for shipping AI features — write eval before prompt, measure, iterate, ship with caching + cost telemetry + model fallback + hallucination SLI
Generates and validates OpenAPI specifications from codebase. Covers endpoint design, schema validation, and documentation generation.
Evaluates architectural decisions and produce ADRs following the project template. Use when making architectural decisions, evaluating trade-offs, or creating ADRs.
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Crack the egg. Hatch better agents.
hatch3r is an open-source CLI and editor plugin (Claude Code + Cursor) that installs a tool-agnostic agentic coding setup into any repository. Audited each release across 24 governance domains and generated for 3 platform adapters (Claude Code, Cursor, GitHub Copilot). One command gives you the full set of agents, skills, rules, commands, hooks, and MCP integrations -- optimized for your coding tool of choice (live counts in governance/inventory.json ). Selective init installs only what you need based on your project type and team size.
v1.9.0 scope cut: As of 1.9.0 hatch3r supports only Claude Code, Cursor, and GitHub Copilot. Twelve adapters were removed in a hard cut; canonical content is now read from the bundled npm package (no
.agents/materialization in user repos), and the manifest moved to.hatch3r/hatch.json. See CHANGELOG.md for the full breaking-change list and migration notes.
Requires Node.js 22+.
npx hatch3r init --default # recommended: zero-prompt setup with the standard profile
npx hatch3r init # interactive: customize tools, profile, and MCP (6 prompts for GitHub greenfield; +1 for Azure DevOps, +1 for `custom` preset, +1 for workspace mode)
--default generates a working standard-profile setup with no questions — the fastest path to a configured repo. The interactive init detects your repo, asks about your project context (greenfield/brownfield, solo/team), lets you choose a content profile (minimal/standard/full/custom), and generates everything. The platform (GitHub, Azure DevOps, or GitLab) is auto-detected from your git remote either way. Run into issues? See Troubleshooting.
Already using Cursor? Carry your existing rules across with npx hatch3r init --import cursor — they land under .hatch3r/overrides/rules/ (.md + .mdc) with per-file conflict reporting. See Migrating from another tool.
| Category | Count | Highlights |
|---|---|---|
| Agents | 29 | Code reviewer, lint-fixer, dependency auditor, implementer (sub-agentic), fixer, researcher, architect, DevOps, handoff loader / preparer, 9 content-quality specialists (UI/UX/security/reliability/testability/scalability/performance/maintainability/enhancability), and more |
| Skills | 53 | Bug fix, feature implementation, issue workflow, release, incident response, context health, cost tracking, handoff prepare / resume, recipes, API spec, CI pipeline, migration, customization, board lifecycle, ad-hoc orchestration scaffold, 5 standalone CLI-tool skills (ripgrep, jq, gh, fd, fzf) + a 24-tool cli-toolbox, and more |
| Rules | 67 | Code standards, testing, API design, observability, theming, i18n, security patterns, agent orchestration, fan-out discipline, right-sizing, deep context analysis, handoff readiness, mobile + backend stack rules, and more |
| Commands | 30 | Board management, planning (feature, bug, refactor, test), workflow, quick-change, bug-pipeline, revision, debug, healthcheck, security-audit, onboard, benchmark, handoff (prepare/resume/list/complete/prune), and more |
| CLI tools | 29 across 3 tiers | Tier-1 default (ripgrep, fd, jq, yq, gh, delta, bat, sd, ast-grep, zstd); tier-2 conditional (Playwright, duckdb, qsv, taplo, glab, az-devops, Docker, llm, fzf, lazygit, difftastic); tier-3 opt-in (RTK, Stagehand, aichat, mods, Comby, miller, csvkit, Podman) -- emitted as per-tool canonical skills + a decision-tree overview |
| MCP Servers | 10 (opt-in) | Playwright, Context7, Filesystem, GitHub, Brave Search, Sentry, Postgres, Linear, Azure DevOps, GitLab -- gated behind a Yes/No prompt during init (default No since 1.7.5; pass --mcp to restore prior --yes behavior) |
| Platforms | 3 | GitHub, Azure DevOps, GitLab -- auto-detected from git remote |
| Tool | Output |
|---|---|
| Cursor | .mdc rules, agents, skills, commands, MCP config |
| GitHub Copilot | instructions, prompts, GitHub agents |
| Claude Code | CLAUDE.md, skills, .mcp.json |
Platform is auto-detected from your git remote during hatch3r init. All board commands, agents, rules, and skills adapt to your selected platform.
npx claudepluginhub hatch3r/hatch3r --plugin hatch3rComplete project development toolkit: 23 agents, 23 slash commands, 29 lifecycle hooks, and 69 reusable skills for Claude Code workflows
Makes a repo agent-ready: AGENTS.md, boundary tests, CI pipeline, GC scripts — based on OpenAI's harness engineering methodology
11 agents, 35 skills, 18 commands, 9 hooks — spec-driven multi-agent orchestration for Claude Code, with optional cross-device semantic memory.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup
Persistent memory, shared standards, and structured workflows for AI coding agents. Detects project setup and injects agent context automatically.