agent-protocol
A framework for C-suite agents to query each other and coordinate cross-functional analysis safely.
Install
mkdir -p .claude/skills/agent-protocol && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3758" && unzip -o skill.zip -d .claude/skills/agent-protocol && rm skill.zipInstalls to .claude/skills/agent-protocol
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.Key capabilities
- →Invoke other C-suite agents using [INVOKE:role|question]
- →Broadcast messages to all roles using [BROADCAST:all|question]
- →Enforce loop prevention rules including depth limits and circular call detection
- →Surface conflicts between invoked agents for human resolution
- →Log decisions to a two-layer canonical layout
- →Perform self-verification checklists before presenting to the founder
How it works
Agents communicate via a standardized syntax and follow hard rules to prevent circular reasoning and execution loops. They use a two-layer decision memory system to ensure consensus is based on founder-approved records.
Inputs & outputs
When to use agent-protocol
- →Coordinating analysis between different specialized agents
- →Passing tasks between C-suite AI agents
- →Ensuring secure communication loops between systems
About this skill
Inter-Agent Protocol
How C-suite agents talk to each other. Rules that prevent chaos, loops, and circular reasoning.
Keywords
agent protocol, inter-agent communication, agent invocation, agent orchestration, multi-agent, c-suite coordination, agent chain, loop prevention, agent isolation, board meeting protocol
Invocation Syntax
Any agent can query another using:
[INVOKE:role|question]
Examples:
[INVOKE:cfo|What's the burn rate impact of hiring 5 engineers in Q3?]
[INVOKE:cto|Can we realistically ship this feature by end of quarter?]
[INVOKE:chro|What's our typical time-to-hire for senior engineers?]
[INVOKE:cro|What does our pipeline look like for the next 90 days?]
Valid roles: ceo, cfo, cro, cmo, cpo, cto, chro, coo, ciso, gc, cdo, caio, cco, vpe
| Role token | Advisor skill |
|---|---|
gc | general-counsel-advisor (legal, contracts, term sheets) |
cdo | chief-data-officer-advisor (data strategy, training-data rights) |
caio | chief-ai-officer-advisor (AI strategy, evals, AI risk) |
cco | chief-customer-officer-advisor (retention, customer success) |
vpe | vpe-advisor (engineering delivery, DORA, eng hiring) |
Response Format
Invoked agents respond using this structure:
[RESPONSE:role]
Key finding: [one line — the actual answer]
Supporting data:
- [data point 1]
- [data point 2]
- [data point 3 — optional]
Confidence: [high | medium | low]
Caveat: [one line — what could make this wrong]
[/RESPONSE]
Example:
[RESPONSE:cfo]
Key finding: Hiring 5 engineers in Q3 extends runway from 14 to 9 months at current burn.
Supporting data:
- Current monthly burn: $280K → increases to ~$380K (+$100K fully loaded)
- ARR needed to offset: ~$1.2M additional within 12 months
- Current pipeline covers 60% of that target
Confidence: medium
Caveat: Assumes 3-month ramp and no change in revenue trajectory.
[/RESPONSE]
Loop Prevention (Hard Rules)
These rules are enforced unconditionally. No exceptions.
Rule 1: No Self-Invocation
An agent cannot invoke itself.
❌ CFO → [INVOKE:cfo|...] — BLOCKED
Rule 2: Maximum Depth = 2
Chains can go A→B→C. The third hop is blocked.
✅ CRO → CFO → COO (depth 2)
❌ CRO → CFO → COO → CHRO (depth 3 — BLOCKED)
Rule 3: No Circular Calls
If agent A called agent B, agent B cannot call agent A in the same chain.
✅ CRO → CFO → CMO
❌ CRO → CFO → CRO (circular — BLOCKED)
Rule 4: Chain Tracking
Each invocation carries its call chain. Format:
[CHAIN: cro → cfo → coo]
Agents check this chain before responding with another invocation.
When blocked: Return this instead of invoking:
[BLOCKED: cannot invoke cfo — circular call detected in chain cro→cfo]
State assumption used instead: [explicit assumption the agent is making]
Isolation Rules
Board Meeting Phase 2 (Independent Analysis)
NO invocations allowed. Each role forms independent views before cross-pollination.
- Reason: prevent anchoring and groupthink
- Duration: entire Phase 2 analysis period
- If an agent needs data from another role: state explicit assumption, flag it with
[ASSUMPTION: ...]
Board Meeting Phase 3 (Critic Role)
Executive Mentor can reference other roles' outputs but cannot invoke them.
- Reason: critique must be independent of new data requests
- Allowed: "The CFO's projection assumes X, which contradicts the CRO's pipeline data"
- Not allowed:
[INVOKE:cfo|...]during critique phase
Outside Board Meetings
Invocations are allowed freely, subject to loop prevention rules above.
When to Invoke vs When to Assume
Invoke when:
- The question requires domain-specific data you don't have
- An error here would materially change the recommendation
- The question is cross-functional by nature (e.g., hiring impact on both budget and capacity)
Assume when:
- The data is directionally clear and precision isn't critical
- You're in Phase 2 isolation (always assume, never invoke)
- The chain is already at depth 2
- The question is minor compared to your main analysis
When assuming, always state it:
[ASSUMPTION: runway ~12 months based on typical Series A burn profile — not verified with CFO]
Conflict Resolution
When two invoked agents give conflicting answers:
- Flag the conflict explicitly:
[CONFLICT: CFO projects 14-month runway; CRO expects pipeline to close 80% → implies 18+ months] - State the resolution approach:
- Conservative: use the worse case
- Probabilistic: weight by confidence scores
- Escalate: flag for human decision
- Never silently pick one — surface the conflict to the user.
Broadcast Pattern (Crisis / CEO)
CEO can broadcast to all roles simultaneously:
[BROADCAST:all|What's the impact if we miss the fundraise?]
Responses come back independently (no agent sees another's response before forming its own). Aggregate after all respond.
Decision Memory (Canonical Layout)
All C-suite skills and /cs:* commands read and write decisions in one place — the two-layer model owned by /cs:decide and the decision-logger skill:
~/.claude/decisions/
├── raw/YYYY-MM-DD-<slug>.md # Layer 1 — full transcripts/deliberations (never auto-loaded)
├── raw/archive/YYYY/ # Raw files after 90 days
├── approved/YYYY-MM-DD-<slug>.md # Layer 2 — one founder-approved decision record per file
└── approved/decisions.md # Layer 2 index — append-only log of approved decisions
Rules:
- Layer 1 (raw) stores everything, including rejected arguments. Reference only — never feeds future sessions automatically.
- Layer 2 (approved) stores only founder-approved decisions. This is what board meetings,
/cs:office-hours, and/cs:founder-modeload. Prevents hallucinated consensus. - Writers:
/cs:decideand the Chief of Staff (post board-meeting Phase 5). Individual role agents never write decisions directly. - decision-logger, chief-of-staff, and board-meeting all use this layout. Their SKILL.md files link here rather than defining their own paths.
Migration: earlier versions used memory/board-meetings/ (decision-logger, board-meeting) and ~/.claude/decision-log.md (chief-of-staff); read those for history if present, but write all new entries to ~/.claude/decisions/.
Quick Reference
| Rule | Behavior |
|---|---|
| Self-invoke | ❌ Always blocked |
| Depth > 2 | ❌ Blocked, state assumption |
| Circular | ❌ Blocked, state assumption |
| Phase 2 isolation | ❌ No invocations |
| Phase 3 critique | ❌ Reference only, no invoke |
| Conflict | ✅ Surface it, don't hide it |
| Assumption | ✅ Always explicit with [ASSUMPTION: ...] |
Internal Quality Loop (before anything reaches the founder)
No role presents to the founder without passing through this verification loop. The founder sees polished, verified output — not first drafts.
Step 1: Self-Verification (every role, every time)
Before presenting, every role runs this internal checklist:
SELF-VERIFY CHECKLIST:
□ Source Attribution — Where did each data point come from?
✅ "ARR is $2.1M (from CRO pipeline report, Q4 actuals)"
❌ "ARR is around $2M" (no source, vague)
□ Assumption Audit — What am I assuming vs what I verified?
Tag every assumption: [VERIFIED: checked against data] or [ASSUMED: not verified]
If >50% of findings are ASSUMED → flag low confidence
□ Confidence Score — How sure am I on each finding?
🟢 High: verified data, established pattern, multiple sources
🟡 Medium: single source, reasonable inference, some uncertainty
🔴 Low: assumption-based, limited data, first-time analysis
□ Contradiction Check — Does this conflict with known context?
Check against company-context.md and recent decisions in decision-log
If it contradicts a past decision → flag explicitly
□ "So What?" Test — Does every finding have a business consequence?
If you can't answer "so what?" in one sentence → cut it
Step 2: Peer Verification (cross-functional validation)
When a recommendation impacts another role's domain, that role validates BEFORE presenting.
| If your recommendation involves... | Validate with... | They check... |
|---|---|---|
| Financial numbers or budget | CFO | Math, runway impact, budget reality |
| Revenue projections | CRO | Pipeline backing, historical accuracy |
| Headcount or hiring | CHRO | Market reality, comp feasibility, timeline |
| Technical feasibility or timeline | CTO | Engineering capacity, technical debt load |
| Operational process changes | COO | Capacity, dependencies, scaling impact |
| Customer-facing changes | CRO + CPO | Churn risk, product roadmap conflict |
| Security or compliance claims | CISO | Actual posture, regulation requirements |
| Market or positioning claims | CMO | Data backing, competitive reality |
| Legal exposure, contracts, term sheets | GC | Clause risk, IP ownership, regulatory triggers |
| Data rights, training-data provenance | CDO | Consent basis, GDPR Art. 6, data-asset impact |
| AI model claims, eval results, AI risk | CAIO | Eval coverage, hallucination SLO, EU AI Act tier |
| Retention, churn, customer-health claims | CCO | GRR/NRR decomposition, churn root cause |
| Delivery timelines, eng throughput | VPE | DORA metrics, cycle-time reality, team capacity |
Peer validation format:
[PEER-VERIFY:cfo]
Validated: ✅ Burn rate calculation correct
Adjusted: ⚠️ Hiring timeline should be Q3 not Q2 (budget constraint)
Flagged: 🔴 Missing equity cost in total comp projection
[/PEER-VERIFY]
Skip peer verification when:
- Single-domain question with no cross-functional impact
- Time-sensitive proactive alert (send alert, verify after)
- Founder explicitly asked for a quick take
Step 3: Critic Pre-Screen (high-stakes decisions only)
For decisions that a
Content truncated.
When not to use it
- →During Phase 2 board meeting analysis where invocations are prohibited
- →When an agent can form an independent view without external data
- →When the chain depth is already at 2
Prerequisites
Limitations
- →Maximum call depth is limited to 2
- →Self-invocation is strictly blocked
- →Invocations are prohibited during Phase 2 board meeting analysis
How it compares
Unlike manual coordination, this protocol enforces strict communication rules and automated loop prevention to maintain organizational hierarchy and decision integrity.
Compared to similar skills
agent-protocol side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| agent-protocol (this skill) | 1 | 2mo | No flags | Intermediate |
| messaging-agents | 0 | 3mo | Review | Intermediate |
| agent-collective-intelligence-coordinator | 0 | 6mo | No flags | Advanced |
| agent-mesh-coordinator | 0 | 6mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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