Agent skill

Board Meeting

by LeoYeAI in LeoYeAI/openclaw-master-skills

Multi-agent board meeting protocol for strategic decisions. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passedAgent Workflows

Install Board Meeting

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill board-meeting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills board-meeting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/board-meeting .claude/skills/board-meeting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
board-meeting
GitHub stars
2.2k
Token cost
~1.3k tokens
SKILL.md length
482 words
Files
5 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Multi-agent board meeting protocol for strategic decisions. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 6 steps: Context Gathering → Independent Contributions (ISOLATED) → Critic Analysis → …
  • The user invokes /cs:board
  • SKILL.md covers Keywords, Invoke, The 6-Phase Protocol and Memory Structure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Board Meeting is an agent skill from LeoYeAI/openclaw-master-skills. Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `_meta.json`, `references/meeting-facilitation.md` and `templates/meeting-agenda.md`).

It sits in Agent Workflows, covering Context engineering. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user invokes /cs:board
  • Calls a board meeting
  • Wants structured multi-perspective executive deliberation on a strategic question

Example prompts

  • “/board-meeting”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Context Gathering
  2. Independent Contributions (ISOLATED)
  3. Critic Analysis
  4. Synthesis
  5. Human in the Loop ⏸️
  6. Decision Extraction

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Board Meeting loads about 1.3k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 482 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 482 words, ~1,325 tokens.

Download SKILL.mdSave it as .claude/skills/board-meeting/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
board-meeting
description
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.
license
MIT
metadata.version
1.0.0
metadata.author
Alireza Rezvani
metadata.category
c-level
metadata.domain
board-protocol
metadata.updated
2026-03-05
metadata.frameworks
6-phase-board, two-layer-memory, independent-contributions

Board Meeting Protocol

Structured multi-agent deliberation that prevents groupthink, captures minority views, and produces clean, actionable decisions.

Keywords

board meeting, executive deliberation, strategic decision, C-suite, multi-agent, /cs:board, founder review, decision extraction, independent perspectives

Invoke

/cs:board [topic] — e.g. /cs:board Should we expand to Spain in Q3?


The 6-Phase Protocol

PHASE 1: Context Gathering
  1. Load memory/company-context.md
  2. Load memory/board-meetings/decisions.md (Layer 2 ONLY — never raw transcripts)
  3. Reset session state — no bleed from previous conversations
  4. Present agenda + activated roles → wait for founder confirmation

Chief of Staff selects relevant roles based on topic (not all 9 every time):

TopicActivate
Market expansionCEO, CMO, CFO, CRO, COO
Product directionCEO, CPO, CTO, CMO
Hiring/orgCEO, CHRO, CFO, COO
PricingCMO, CFO, CRO, CPO
TechnologyCTO, CPO, CFO, CISO

PHASE 2: Independent Contributions (ISOLATED)

No cross-pollination. Each agent runs before seeing others' outputs.

Order: Research (if needed) → CMO → CFO → CEO → CTO → COO → CHRO → CRO → CISO → CPO

Reasoning techniques: CEO: Tree of Thought (3 futures) | CFO: Chain of Thought (show the math) | CMO: Recursion of Thought (draft→critique→refine) | CPO: First Principles | CRO: Chain of Thought (pipeline math) | COO: Step by Step (process map) | CTO: ReAct (research→analyze→act) | CISO: Risk-Based (P×I) | CHRO: Empathy + Data

Contribution format (max 5 key points, self-verified):

## [ROLE] — [DATE]

Key points (max 5):
• [Finding] — [VERIFIED/ASSUMED] — 🟢/🟡/🔴
• [Finding] — [VERIFIED/ASSUMED] — 🟢/🟡/🔴

Recommendation: [clear position]
Confidence: High / Medium / Low
Source: [where the data came from]
What would change my mind: [specific condition]

Each agent self-verifies before contributing: source attribution, assumption audit, confidence scoring. No untagged claims.


PHASE 3: Critic Analysis

Executive Mentor receives ALL Phase 2 outputs simultaneously. Role: adversarial reviewer, not synthesizer.

Checklist:

  • Where did agents agree too easily? (suspicious consensus = red flag)
  • What assumptions are shared but unvalidated?
  • Who is missing from the room? (customer voice? front-line ops?)
  • What risk has nobody mentioned?
  • Which agent operated outside their domain?

Show full SKILL.md (209 more words)Show less
PHASE 4: Synthesis

Chief of Staff delivers using the Board Meeting Output format (defined in agent-protocol/SKILL.md):

  • Decision Required (one sentence)
  • Perspectives (one line per contributing role)
  • Where They Agree / Where They Disagree
  • Critic's View (the uncomfortable truth)
  • Recommended Decision + Action Items (owners, deadlines)
  • Your Call (options if founder disagrees)

PHASE 5: Human in the Loop ⏸️

Full stop. Wait for the founder.

⏸️ FOUNDER REVIEW — [Paste synthesis]

Options: ✅ Approve | ✏️ Modify | ❌ Reject | ❓ Ask follow-up

Rules:

  • User corrections OVERRIDE agent proposals. No pushback. No "but the CFO said..."
  • 30-min inactivity → auto-close as "pending review"
  • Reopen any time with /cs:board resume

PHASE 6: Decision Extraction

After founder approval:

  • Layer 1: Write full transcript → memory/board-meetings/YYYY-MM-DD-raw.md
  • Layer 2: Append approved decisions → memory/board-meetings/decisions.md
  • Mark rejected proposals [DO_NOT_RESURFACE]
  • Confirm to founder with count of decisions logged, actions tracked, flags added

Memory Structure

memory/board-meetings/
├── decisions.md          # Layer 2 — founder-approved only (Phase 1 loads this)
├── YYYY-MM-DD-raw.md     # Layer 1 — full transcripts (never auto-loaded)
└── archive/YYYY/         # Raw transcripts after 90 days

Future meetings load Layer 2 only. Never Layer 1. This prevents hallucinated consensus.


Failure Mode Quick Reference

FailureFix
Groupthink (all agree)Re-run Phase 2 isolated; force "strongest argument against"
Analysis paralysisCap at 5 points; force recommendation even with Low confidence
BikesheddingLog as async action item; return to main agenda
Role bleed (CFO making product calls)Critic flags; exclude from synthesis
Layer contaminationPhase 1 loads decisions.md only — hard rule

References

  • templates/meeting-agenda.md — agenda format
  • templates/meeting-minutes.md — final output format
  • references/meeting-facilitation.md — conflict handling, timing, failure modes

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/board-meeting of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/meeting-facilitation.md
  • templates/meeting-agenda.md
  • templates/meeting-minutes.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Board Meeting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Board Meeting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Board Meeting this skillLeoYeAI/openclaw-master-skills2.2k—~1.3kAutomated safety check: PassMIT
Context Optimizationguanyang/open-agent-hub9772 repos~4kAutomated safety check: PassMIT
Board Meetingalirezarezvani/claude-skills28k—~1.6kAutomated safety check: PassMIT
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence
Picoclaw Skill Creatorsipeed/picoclaw30k—~4.4kAutomated safety check: PassMIT

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Categories

Questions about Board Meeting

What does Board Meeting do?

Multi-agent board meeting protocol for strategic decisions. An agent skill from LeoYeAI/openclaw-master-skills. Board Meeting is an agent skill from LeoYeAI/openclaw-master-skills. Multi-agent board meeting protocol for strategic decisions.

When should I use Board Meeting?

Board Meeting fits situations like: the user invokes /cs:board; calls a board meeting; wants structured multi-perspective executive deliberation on a strategic question.

How do I install Board Meeting in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill board-meeting -a claude-code`. Or copy the skill folder (skills/board-meeting in LeoYeAI/openclaw-master-skills) into .claude/skills/board-meeting in your project. Claude Code loads it when a task matches its description.

How do I install Board Meeting in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill board-meeting -a codex`. Or copy the skill folder (skills/board-meeting in LeoYeAI/openclaw-master-skills) into .agents/skills/board-meeting in your project. Codex loads it when a task matches its description.

Can I use Board Meeting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill board-meeting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/board-meeting, .gemini/skills/board-meeting, .github/skills/board-meeting and .opencode/skills/board-meeting in your project.

What does Board Meeting need to run?

SKILL.md names no scripts, command-line tools or credentials: Board Meeting is instructions for the agent only.

Does Board Meeting access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Board Meeting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Board Meeting use?

Board Meeting is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Board Meeting use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Board Meeting?

Skills that share tags, products or a category with Board Meeting: Context Optimization (guanyang/open-agent-hub, 977 stars), Board Meeting (alirezarezvani/claude-skills, 28k stars), Context Mode Output Sandbox (mksglu/context-mode, 26k stars) and Memori Long-Term Memory (MemoriLabs/Memori, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Board Meeting?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.