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.zip

Installs 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.
279 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

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

You give it
[INVOKE:cfo|What is the burn rate impact of hiring 5 engineers?]
You get back
[RESPONSE:cfo] Key finding: Hiring 5 engineers extends runway from 14 to 9 months.

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 tokenAdvisor skill
gcgeneral-counsel-advisor (legal, contracts, term sheets)
cdochief-data-officer-advisor (data strategy, training-data rights)
caiochief-ai-officer-advisor (AI strategy, evals, AI risk)
ccochief-customer-officer-advisor (retention, customer success)
vpevpe-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:

  1. Flag the conflict explicitly:
    [CONFLICT: CFO projects 14-month runway; CRO expects pipeline to close 80% → implies 18+ months]
    
  2. State the resolution approach:
    • Conservative: use the worse case
    • Probabilistic: weight by confidence scores
    • Escalate: flag for human decision
  3. 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-mode load. Prevents hallucinated consensus.
  • Writers: /cs:decide and 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

RuleBehavior
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 budgetCFOMath, runway impact, budget reality
Revenue projectionsCROPipeline backing, historical accuracy
Headcount or hiringCHROMarket reality, comp feasibility, timeline
Technical feasibility or timelineCTOEngineering capacity, technical debt load
Operational process changesCOOCapacity, dependencies, scaling impact
Customer-facing changesCRO + CPOChurn risk, product roadmap conflict
Security or compliance claimsCISOActual posture, regulation requirements
Market or positioning claimsCMOData backing, competitive reality
Legal exposure, contracts, term sheetsGCClause risk, IP ownership, regulatory triggers
Data rights, training-data provenanceCDOConsent basis, GDPR Art. 6, data-asset impact
AI model claims, eval results, AI riskCAIOEval coverage, hallucination SLO, EU AI Act tier
Retention, churn, customer-health claimsCCOGRR/NRR decomposition, churn root cause
Delivery timelines, eng throughputVPEDORA 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

C-suite agent roles must be definedAccess to ~/.claude/decisions/ directory

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.

SkillInstallsUpdatedSafetyDifficulty
agent-protocol (this skill)12moNo flagsIntermediate
messaging-agents03moReviewIntermediate
agent-collective-intelligence-coordinator06moNo flagsAdvanced
agent-mesh-coordinator06moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

More by alirezarezvani

View all by alirezarezvani

ma-playbook

alirezarezvani

M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.

39122

ad-creative

alirezarezvani

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

3395

content-trend-researcher

alirezarezvani

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

30126

cold-email

alirezarezvani

When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).

2971

content-humanizer

alirezarezvani

Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).

2251

aws-solution-architect

alirezarezvani

Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.

2047

Search skills

Search the agent skills registry