By kiwi-home
Engineering workflow commands for planning, reviewing, and executing GitHub issues with dynamically discovered specialist agents.
Check upstream dependencies for new releases and changelog updates; produces a local markdown digest with change tiers
Remove worktree and branch for a completed issue; idempotent with unmerged-changes safety check
Create a well-structured issue on GitHub (best-effort: Linear, Jira, Asana)
Run a technical design session on an issue, PR, file, or topic with dynamically discovered specialist agents
Execute a planned+reviewed issue in an isolated git worktree. Creates worktree, implements changes, commits, pushes, and creates PR. Use AFTER planning is complete.
Documents agent frontmatter metadata spec and patterns for creating effective project-specific agents. Use when: creating agents, understanding agent discovery, or configuring agent metadata.
Governs parallel code execution teams with file ownership, TDD workflow, git coordination, and team lifecycle management. Defines spawn templates, timeout policies, and shutdown procedures. Referenced during parallel execution phases of issue implementation.
Discovers existing skills and agents across project, user, and plugin layers and provides similarity heuristics for detecting overlapping assets. Use when generating skills or agents, detecting duplicate assets, or checking for name collisions.
Criteria for analyzing codebases to inform agent and skill generation. Encodes signal hierarchy, specialist indicators, and domain significance evaluation. Use when: generating agents, generating skills, or evaluating project setup.
Complexity assessment framework for routing issues to appropriate preparation depth. Defines triage signals, mode selection criteria, and output templates for solo and lightweight modes. Referenced by prepare-issue before design session dispatch.
Executes bash commands
Hook triggers when Bash tool is used
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A Claude Code plugin marketplace for engineering workflows.
Stop vibe-coding your issue tracking. This plugin gives Claude Code a structured workflow for taking GitHub issues from idea to merged PR — with design sessions, adversarial plan review, and TDD execution built in.
# In Claude Code:
/plugin marketplace add Kiwi-Home/ai-coding-resources
/plugin install coding-workflows@ai-coding-resources
# Turn a vague idea into a structured issue with requirements and acceptance criteria
/coding-workflows:create-issue github "users can't reset their password if they signed up with SSO"
# The full pipeline: triage → design → plan → adversarial review
/coding-workflows:prepare-issue 42
# Implement with TDD, open PR, run review loop
/coding-workflows:execute-issue 42
That's it. Project settings are auto-detected from your git remote and project files.
Issue creation — /create-issue writes requirements-focused issues with acceptance criteria. Describes what, not how.
Design sessions — /design-session spawns 3-4 specialist agents that independently analyse the problem, then synthesises findings with explicit conflict resolution. No premature consensus.
Implementation planning — /plan-issue produces a specialist-reviewed implementation plan with mandatory codebase exploration and build-vs-buy research. Then /review-plan tears it apart before any code is written.
TDD execution — /execute-issue implements the reviewed plan using test-driven development with verification gates. Creates a feature branch, runs tests, opens a PR.
PR review — /review-pr reviews pull requests with severity-tiered findings (MUST FIX / FIX NOW / CREATE ISSUE). Works from CLI or as a GitHub Actions CI check.
Complexity triage — /prepare-issue assesses issue complexity and routes to the appropriate depth: solo mode for trivial fixes, lightweight for standard work, full deliberation for cross-cutting changes.
| Count | Examples | |
|---|---|---|
| Commands | 15 | prepare-issue, execute-issue, review-pr, setup, create-issue |
| Skills | 14 | TDD patterns, systematic debugging, issue writing, PR review framework |
| Hooks | 6 | Dependency version checks, test evidence logging, deferred work scanning |
Zero config — Install and run. Everything auto-detects.
Configured — Run /init-config to generate .claude/workflow.yaml with your test, lint, and branch settings.
Full setup — Run /setup for the complete experience: CLAUDE.md check, config, project-specific skills and specialist agents generated from your codebase.
Add automated PR review to your GitHub Actions pipeline:
- name: Run PR Review
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
prompt: |
Run /coding-workflows:review-pr for PR ${{ github.event.pull_request.number }}.
See the full CI setup guide for permissions, allowed tools, and customisation options.
The plugin README has the full command reference, skill reference, hook configuration, FAQ, and troubleshooting guide.
gh) installed and authenticatedMIT
npx claudepluginhub kiwi-home/ai-coding-resources --plugin coding-workflowsAI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
Orchestration plugin. v1 use case: async development - turn ready issues into pull requests, then iterate on review feedback until a human takes over. Designed to host more orchestration use cases (refactoring, docs, audits) in future versions.
Fetches GitHub issue details to create comprehensive implementation specifications, analyzing requirements and planning structured approach with clear implementation steps.
Complete task implementation workflow - accepts plan documents, issues, or task descriptions
For easy problems, start here. For harder problems, do this after Explore.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses