welitonevoc AgentFlow
Overview
AgentFlow turns your existing Kanban board into a fully autonomous AI development pipeline. Instead of building custom orchestration infrastructure, it treats your project management tool (Asana, GitHub Projects, Linear) as a distributed state machine — tasks move through stages, AI agents read and write state via comments, and humans intervene through the same UI they already use.
The result is complete pipeline observability from your phone, free crash recovery (state lives in your PM tool, not in memory), and human override at any point by dragging a card.
When to Use This Skill
- Use when you need to orchestrate multiple Claude Code workers across a full development lifecycle (build, review, test, integrate)
- Use when you want deterministic quality gates (tsc/eslint/tests) before AI review on AI-generated code
- Use when you want full pipeline visibility from your Kanban board or phone
- Use when running a solo or team project that needs autonomous task dispatch with cost tracking
- Use when you need crash-proof orchestration that survives session restarts
Core Concepts
7-Stage Kanban Pipeline
Tasks flow through: Backlog, Research, Build, Review, Test, Integrate, Done. Each stage has specific gates. The Kanban board IS the orchestration layer — no separate database, no message queue, no custom infrastructure.
Stateless Orchestrator
A crontab-driven one-shot sweep runs every 15 minutes. No daemon, no session dependency. If it crashes, the next sweep picks up where it left off because all state lives in your PM tool.
Deterministic Before Probabilistic
Hard gates (tsc + eslint + tests) run before any AI review, catching roughly 60% of issues at near-zero cost. AI review comes after, as a second layer.
Adversarial Review
A different AI agent reviews code and must list 3 things wrong before deciding to pass. This prevents rubber-stamp approvals.
Transitive Priority Dispatch
Tasks that unblock the most downstream work get built first, automatically computing the critical path.
Skills / Commands
/spec-to-board
Decomposes a SPEC.md into atomic tasks on your Kanban board with dependencies mapped.
/sdlc-orchestrate
Dispatches tasks to workers based on transitive priority and conflict detection. Runs as a crontab sweep.
/sdlc-worker --slot <N>
Runs a worker in a terminal slot that picks up tasks, builds code, and creates PRs. Run 3-4 workers in parallel.
/sdlc-health
Real-time pipeline status dashboard showing current stage, assigned agent, retry count, and accumulated cost for every task.
/sdlc-stop
Graceful shutdown: active workers finish their current task, unstarted tasks return to Backlog.
Step-by-Step Guide
1. Write Your Spec
Create a SPEC.md for your project describing what you want to build.
2. Decompose Into Tasks
claude -p "/spec-to-board"
This reads your SPEC.md, decomposes it into atomic tasks, maps dependencies, and creates them on your Kanban board.
3. Start Workers
Open 3-4 terminal windows, each as a worker slot:
# Terminal 2 — Builder
claude -p "/sdlc-worker --slot T2"
# Terminal 3 — Builder
claude -p "/sdlc-worker --slot T3"
# Terminal 4 — Reviewer
claude -p "/sdlc-worker --slot T4"
# Terminal 5 — Tester
claude -p "/sdlc-worker --slot T5"
4. Start the Orchestrator
# Add to crontab (runs every 15 minutes)
crontab -e
# Add: */15 * * * * ~/.claude/sdlc/agentflow-cron.sh >> /tmp/agentflow-orchestrate.log 2>&1
5. Monitor and Intervene
Open your Kanban board on your phone. Watch tasks flow through the pipeline. Drag any card to "Needs Human" to intervene. Run /sdlc-health for a terminal dashboard.
6. Stop the Pipeline
claude -p "/sdlc-stop"
Quality Gates
Each stage enforces specific gates before promotion:
- Build to Review:
tsc+eslint+npm testmust all pass (deterministic) - Review to Test: Adversarial reviewer must list 3 issues before passing
- Test to Integrate: 80% coverage threshold on new files
- Integrate to Done: Full test suite on main after merge; auto-reverts on failure
Cost Tracking
Per-task cost tracking with stage ceilings (Sonnet defaults):
- Research: ~$0.10
- Build: ~$0.40
- Review: ~$0.10
- Test: ~$0.05
- Integrate: ~$0.03
Automatic guardrails: warning at $3/$8, hard stop at $10/$20 (Sonnet/Opus) with human escalation.
Safety and Recovery
- Auto-revert: Integration failures trigger
git revert(new commit, never force-push) - Blocked tasks: After 2 failed attempts, tasks escalate to human review
- Dead agent detection: Heartbeat every 5 min, reassign after 10 min timeout
- Graceful shutdown:
/sdlc-stopdrains workers, returns unstarted tasks to backlog - Scope creep detection: PR diff files compared against predicted files list
- Spec drift detection: SHA-256 hash comparison catches requirement changes mid-sprint
Installation
# Clone the repo
git clone https://github.com/UrRhb/agentflow.git
# Copy skills and prompts to your Claude Code config
cp -r agentflow/skills/* ~/.claude/skills/
cp -r agentflow/prompts/* ~/.claude/sdlc/prompts/
cp agentflow/conventions.md ~/.claude/sdlc/conventions.md
Or install as a Claude Code plugin:
/plugin marketplace add UrRhb/agentflow
/plugin install agentflow
Best Practices
- Do: Write a clear SPEC.md before running
/spec-to-board - Do: Start with 3-4 workers for a typical project
- Do: Monitor from your Kanban board and drag cards to "Needs Human" when needed
- Do: Review LEARNINGS.md periodically — it captures common failure patterns
- Don't: Skip the deterministic quality gates — they catch most issues cheaply
- Don't: Force-push to main — AgentFlow uses
git revertfor safety - Don't: Run more workers than your project's parallelism supports
Troubleshooting
Problem: Worker appears stuck or dead
Symptoms: Task card hasn't moved in 15+ minutes, no new comments
Solution: The orchestrator detects dead agents via heartbeat and reassigns after 10 minutes. If the issue persists, run /sdlc-health to check status and manually drag the card back to Backlog.
Problem: Cost guardrail triggered
Symptoms: Task moved to "Needs Human" with COST:CRITICAL tag Solution: Review the task's comment thread for accumulated context. Decide whether to increase the budget, simplify the task, or split it into smaller pieces.
Problem: Integration test failure after merge
Symptoms: Task auto-reverted from main Solution: The auto-revert preserves main stability. Check the task's retry context in comments, which carries what was tried and what failed. The next worker assigned will use this context.
Related Skills
@brainstorming- Use before AgentFlow to design your SPEC.md@writing-plans- Complements spec writing for task decomposition@test-driven-development- Works well with AgentFlow's quality gates@subagent-driven-development- Alternative approach to multi-agent coordination