Install
$ agentstack add skill-votruongdanh-skills-agent-orchestrate ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Memory Protocol
START: Read .ai-memory.md from project root. Check project architecture, team structure, past orchestration plans, ongoing tasks, and blockers. END: Update .ai-memory.md using Memory Compaction Rules with: workstreams, assignments, dependencies, execution order, and blockers/risks.
Goal
Break a complex request into a coordinated execution plan with clear agent assignments.
Agent Routing
- Primary coordinator → read
.kiro/skills/agents/agents/orchestrator.mdand apply its knowledge - For planning phases → read
.kiro/skills/agents/agents/project-planner.mdand apply its knowledge - For each workstream, read the most relevant agent file:
- Frontend tasks → read
.kiro/skills/agents/agents/frontend-specialist.md - Backend tasks → read
.kiro/skills/agents/agents/backend-specialist.md - Database tasks → read
.kiro/skills/agents/agents/database-architect.md - Testing → read
.kiro/skills/agents/agents/test-engineer.md - Security review → read
.kiro/skills/agents/agents/security-auditor.md - Deployment → read
.kiro/skills/agents/agents/devops-engineer.md
Socratic Gate
Before orchestrating, verify:
- What is the full objective? (end-to-end scope)
- How many domains are involved? (frontend, backend, DB, infra?)
- Are there hard dependencies or deadlines?
If any answer is unclear, ASK before proceeding.
Workflow
- Read Memory — Load
.ai-memory.mdfor project context and history. - Decompose the objective into workstreams.
- Assign each workstream to the appropriate agent/role.
- Identify dependencies, blockers, and the critical path.
- Define parallelizable tasks and merge points.
- Produce an execution order with clear handoffs.
- Quality Gate — Read
.kiro/skills/_scripts/checklist.mdand verify each workstream output before merge. - Update Memory — Save orchestration plan to
.ai-memory.md.
Output format
- Objective
- Workstreams (with assigned agents)
- Dependencies and critical path
- Execution order (sequential + parallel)
- Risks and mitigations
- Done criteria for each workstream
Checklist
- [ ] Objective clearly defined
- [ ] Workstreams decomposed
- [ ] Agents assigned to each workstream
- [ ] Dependencies mapped
- [ ] Critical path identified
- [ ] Parallel tasks defined
- [ ] Handoff points clear
- [ ] Done criteria set
- [ ] Memory file updated
- [ ] Clean code chuẩn (Standard clean code applied)
- [ ] Cập nhật đầy đủ tất cả các file liên quan (All related files fully updated)
Rules
- Keep plans realistic for the current project.
- Surface unknowns early.
- Favor visible checkpoints over long hidden work.
- Control scope: each workstream must state minimal files to touch; ASK before allowing wide-impact changes.
- Always read and update the memory file.
Related Skills
/plan→ read.kiro/skills/plan/SKILL.md— Detailed planning for individual workstreams/create→ read.kiro/skills/create/SKILL.md— Execute creation tasks/deploy→ read.kiro/skills/deploy/SKILL.md— Deploy completed work/test→ read.kiro/skills/test/SKILL.md— Validate each workstream
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: VoTruongDanh
- Source: VoTruongDanh/Skills-Agent
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.