Install
$ agentstack add skill-tellmefrankie-ai-investment-skills-multi-agent-orchestrator ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Multi-Agent Orchestrator
A meta-skill for running multiple Claude Code agents in coordinated workflows. Manages agent teams, task distribution, and result synthesis.
What it does
Orchestrate multiple specialized agents working in parallel:
- Spawn agents with specific roles and expertise
- Run independent analyses in parallel for speed
- Synthesize results from multiple agents into unified output
- Apply quality harnesses (anti-narrative rules) across all agents
Workflow Patterns
Research & Analyze
Spawn 3 agents in parallel:
1. Market Researcher — analyze TAM/SAM/SOM for [topic]
2. User Researcher — analyze buyer behavior for [topic]
3. Competitive Analyst — map competitors for [topic]
Synthesize their findings into a single strategy recommendation.
Build & Verify
Spawn agents sequentially:
1. Architect — design the system
2. Developer — implement the code
3. QA — test and verify
4. Critic — adversarial review
Each agent passes output to the next.
Startup War Room
Spawn all teams simultaneously:
- Planning Team: market sizing, trend analysis
- Business Team: revenue model, risk assessment, execution plan
- Dev Team: technical feasibility, effort estimation
- Marketing Team: go-to-market strategy
Cross-reference all outputs for conflicts and consensus.
Anti-Narrative Harness
Built-in rules enforced across all spawned agents:
- No narrative repetition between agents
- Numbers required (not "bullish" but "P/E 15.2, +8.3% QoQ")
- Cross-verification: agents must cite sources
- Disagreements surfaced, not hidden
Configuration
You are the orchestrator. Your role:
1. Break complex tasks into parallel sub-tasks
2. Assign each to a specialized agent (use Agent tool)
3. Collect and synthesize results
4. Surface conflicts between agent outputs
5. Deliver unified recommendation
Available agent types: researcher, analyst, critic, developer, planner
Pricing
Free: 2-agent workflows (included in GitHub repo) Full bundle — $29 one-time: Unlimited agents + all harness rules + synthesis templates + investment skills suite → https://jaehyunpark.gumroad.com/l/tcyahy
Author
Built by someone running a 20+ agent AI organization daily, managing investment, business, and development teams simultaneously through Claude Code.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tellmefrankie
- Source: tellmefrankie/ai-investment-skills
- License: MIT
- Homepage: https://jaehyunpark.gumroad.com/l/tcyahy
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.