Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Firm Orchestration
Pyramid multi-agent orchestration for OpenClaw: routes objectives from a CEO agent down through departments, services and employees via sessions_send / sessi...
skill openclawclawhub Free
Pyramid multi-agent orchestration for OpenClaw: routes objectives from a CEO agent down through departments, services and employees via sessions_send / sessi...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- romainsantoli-web
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
firm-orchestration
This skill implements the A2A (Agent-to-Agent) pyramid pattern for OpenClaw.
Architecture
CEO Agent (orchestrator) βββ Department Strategy β βββ Service Planning β Employee Analyst βββ Department Engineering β βββ Service Backend β Employee Implementer βββ Department Quality β βββ Service Testing β Employee Auditor βββ Department Operations βββ Service Release β Employee Coordinator
Usage
Send this to your OpenClaw session to trigger a full firm orchestration run: @firm-orchestration run objective: "Build a payment API" departments: ["engineering", "quality"] delivery_format: "github_pr"
Tools activated
ToolPurposesessions_listDiscover active department/service sessionssessions_spawnSpawn missing sessions per pyramid levelsessions_sendDelegate objectives down the hierarchysessions_historyCollect results from child sessions
Handoff contract
Each delegation payload follows this schema: { "from": "ceo", "to": "department:engineering", "objective": "...", "constraints": ["...", "..."], "definition_of_done": "...", "context_ref": "memory:delivery/latest", "reply_session": "main" }
Merge strategy
Results from all departments are: Collected via sessions_history with a 30-second deadline Deduplicated by objective_key Merged in dependency order (Strategy β Engineering β Quality β Ops) Formatted according to delivery_format
Operating Protocol (Anthropic-style)
Based on real Anthropic team practices β "How Anthropic teams use Claude Code"
Phase 1 β Parallel dispatch (never sequential)
Fan-out simultaneously to all departments via sessions_send. Never wait for one department before launching the next. Each session receives the full handoff contract and maintains its own complete context. Store all reply_session refs for convergence. Objective received β sessions_send(engineering) β sessions_send(quality) β sessions_send(ops) β sessions_send(strategy) β wait(deadline=30s) β collect via sessions_history
Phase 2 β Iterative loop on blockers
If a department returns status: blocked, do NOT resolve it yourself. Spawn a joint resolution session with the two conflicting departments and let them iterate: engineering blocked by legal β sessions_spawn(participants=[engineering, legal], objective="resolve_blocker") β wait(max_iterations=2) β collect resolution Maximum 2 re-delegation cycles before escalating to CEO with explicit blocker report.
Phase 3 β Convergence with partial acceptance
30-second hard deadline. After deadline: accept partial results, mark missing department outputs as status: timeout, include them in final report as open items. Never block delivery on a single department.
Phase 4 β Validate before merge
Before merging each department output into the final deliverable: Check output satisfies its definition_of_done If DoD not met: flag as quality: partial β do not silently drop Merge in dependency order only: Strategy β Engineering β Quality β Ops
Phase 5 β Deliver + document
After every completed orchestration, automatically append: Run summary (1 paragraph) Departments that delivered / timed out / were blocked Architecture/process decisions made Suggestions for improving the next similar run All final outputs carry the mandatory disclaimer: β οΈ Contenu gΓ©nΓ©rΓ© par IA β validation humaine requise avant utilisation en production.
Phase 6 β Git checkpoints (when Engineering is involved)
Require Engineering to commit after each sub-task β not only at end of run. Reject PRs that are not draft + labelled needs-review. Never allow direct merge to main.
Security
All inter-session calls use reply_session: "main" to avoid orphaned sessions sessions_spawn is rate-limited: max 20 spawns per orchestration run Payloads are validated against the handoff schema before dispatch No external network calls β pure Gateway WebSocket routing
Example prompt
Use the firm-orchestration skill to: objective: "Audit the authentication module" departments: ["quality", "engineering"] constraints: ["read-only access only", "no production changes"] definition_of_done: "Security report with CVSS scores and fix recommendations" delivery_format: "markdown_report"
π Support
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Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md