create-issue
Create a comprehensive, well-structured GitHub issue with embedded agent instructions for autonomous PR lifecycle management.
Determine task complexity and use appropriate workflow for efficient development.
$ npx -y skills add dsifry/metaswarm --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/start-taskContext preview
What this command does when you run it.
Determine task complexity and use appropriate workflow for efficient development.
Determine task complexity and use appropriate workflow for efficient development.
/start-task <task-description>
Before starting any new task:
**Context Recovery Check**:
**Knowledge Priming (CRITICAL)**:
**PR Check**:
Check if external AI tools (Codex, Gemini) are available for cost savings and cross-model review:
command -v codex >/dev/null 2>&1 && echo "codex: available" || echo "codex: not found" command -v gemini >/dev/null 2>&1 && echo "gemini: available" || echo "gemini: not found"
> "External tools (Codex/Gemini) are installed but not configured. Run `mkdir -p .metaswarm && cp templates/external-tools.yaml .metaswarm/` to enable cost-saving delegation."
> "Optional: Install Codex and Gemini CLIs for cost savings and cross-model review — see `templates/external-tools-setup.md`."
This check is informational only. Always proceed to the task regardless of the result.
**Use extended thinking** to analyze the task complexity before asking the user.
Consider:
Then ask the user to confirm your assessment:
> **Proposed complexity**: [Simple / Complex] - Does this match your expectation?
**Simple Task (streamlined flow):**
**Complex Task (full checklist + BEADS epic):**
Before implementation, ensure the problem is well-defined:
**If a GitHub Issue exists:**
# Read the issue gh issue view <number> --json title,body,labels,comments # Extract and verify: # - Clear scope (what's in, what's out) # - Definition of Done items (verifiable acceptance criteria) # - File scope (which files will be affected) # - Human checkpoints (where should we pause for review?)
If the issue lacks DoD items or clear scope, ask the user to clarify before proceeding.
**If no GitHub Issue exists:**
> "This is a complex task. Should I create a GitHub Issue to track it?"
**If the problem is unclear:**
1. STOP — do NOT proceed directly to `writing-plans` or implementation 2. Run the Design Review Gate (`/review-design` or invoke the `design-review-gate` skill) 3. Wait for all 5 review agents (PM, Architect, Designer, Security, CTO) to APPROVE 4. Only after ALL APPROVED, proceed to planning
**Problem Definition outputs:**
If user confirms it's a simple task:
If it's a complex task:
When the task has a spec with Definition of Done items, use the orchestrated execution pattern:
1. **Create implementation plan** — decompose into work units with DoD items, file scopes, dependencies 2. **Plan Review Gate (BLOCKING)** — submit plan to adversarial review (3 reviewers: Feasibility, Completeness, Scope & Alignment must all PASS). This gate is MANDATORY — do NO
A self-improving multi-agent orchestration framework for Claude Code, Gemini CLI, and Codex CLI.
Create a comprehensive, well-structured GitHub issue with embedded agent instructions for autonomous PR lifecycle management.
Check the status of external AI tools (Codex CLI, Gemini CLI) and their configuration.
Handle review comments on pull requests with appropriate responses and resolutions.
Analyze the session and write a self-contained handoff document so a fresh agent can resume the work — outputs a single "Read…
Monitor a PR through to merge - handles CI failures, reviews, and thread resolution
Load relevant knowledge base facts into context before starting work