xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Production protocol for multi-agent collaboration in OpenClaw. Combines Spec-First task definition, two-stage review (Spec + Quality), beads dependency graph as task bus, blackboard.json for direct inter-agent communication, Circuit Breaker retry strategy, and git worktree isolation for parallel implementation. Use when orchestrating 2+ sub-agents on complex tasks requiring coordination, quality gates, and fault tolerance.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install hakityc/multi-agent-protocolExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Production playbook for orchestrating multiple sub-agents in OpenClaw with structured task flow, quality gates, inter-agent communication, and automatic fault recovery.
Synthesized from community research: subagent-driven-development, beads, swarm-self-heal,
agent-team-orchestration, and http-retry-circuit-breaker patterns.
Use this skill when:
Don't use for:
{project-root}/
.beads/ ← beads task graph (git-tracked, auto-managed)
specs/
{task-id}.md ← Task spec (MUST exist before spawning Implementer)
shared/
blackboard.json ← Live state bus (any agent reads/writes directly)
artifacts/
{role}/ ← Each agent's output artifacts
Write Spec → bd create → bd ready → Claim → Implement → Self-Review
→ Spec Review → Quality Review → bd close → bd sync
Before spawning anythin...
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# Multi-Agent Collaboration Protocol
Production playbook for orchestrating multiple sub-agents in OpenClaw with structured task
flow, quality gates, inter-agent communication, and automatic fault recovery.
Synthesized from community research: `subagent-driven-development`, `beads`, `swarm-self-heal`,
`agent-team-orchestration`, and `http-retry-circuit-breaker` patterns.
---
## When to Use
Use this skill when:
- Spawning 2+ sub-agents on a complex task
- Tasks have dependencies between agents
- Quality matters (not just "done", but "correct and well-built")
- You need fault tolerance without manual intervention
- Multiple agents need to share state without going through the orchestrator
**Don't use for:**
- Single-agent tasks (unnecessary overhead)
- One-off spawns with no handoff
- Simple question delegation
---
## Core Principles
1. **Spec-First** — No spawning without a spec file. No spec = no work starts.
2. **Two-Stage Review** — Every implementation goes through Spec Review, then Quality Review.
3. **Serial Implementation** — Only one Implementer runs at a time. Parallel = research/analysis only.
4. **Blackboard Communication** — Agents read/write a shared file directly. Orchestrator is not a relay.
5. **Circuit Breaker** — Failures have a ceiling. After threshold → alert human, don't loop forever.
6. **Fixed sessionKeys** — Same role = same sessionKey = agent memory persists across spawns.
---
## Directory Layout
```
{project-root}/
.beads/ ← beads task graph (git-tracked, auto-managed)
specs/
{task-id}.md ← Task spec (MUST exist before spawning Implementer)
shared/
blackboard.json ← Live state bus (any agent reads/writes directly)
artifacts/
{role}/ ← Each agent's output artifacts
```
---
## Task Lifecycle
```
Write Spec → bd create → bd ready → Claim → Implement → Self-Review
→ Spec Review → Quality Review → bd close → bd sync
```
---
## Step 1 — Write the Spec
Before spawning anythin...X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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