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Council Builder · berabuddies | DecimalAI

agent toolingby berabuddies

Council Builder

berabuddies/council-builder

Source berabuddies/semia ↗License Apache-2.0

Build a personalized team of AI agent personas for OpenClaw. Interviews the user, analyzes their workflow, then creates specialized agents with distinct personalities, adaptive model routing (Fast/Think/Deep/Strategic), weekly learning metrics, visual architecture docs, and inter-agent coordination. USE WHEN: user wants to create an agent team/council, build specialized AI personas, set up multi-agent workflows, 'build me a team of agents', 'create agents for my workflow', 'set up an agent counc

SkillScore95Maintained

Automatic

AI Engineer pack

Last verified 8/16/2026

What it changes

Passed 21 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill95%

Checks it passed that the model alone missed

Specifies file path `memory/learning-metrics.json`
Restricts initial discovery to 2 or 3 questions max
Asks no more than 3 questions in the initial response

and 9 more in the full report

12 fixed9 passed either way0 still failing1 broke

Pass-rate lift: +50 pp
Tokens: +41%
Agent turns: 0%
Response time: -55%

Model gemini-3.6-flashMeasured 8/16/2026v121 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/berabuddies-council-builder/SKILL.md https://app.decimal.ai/s/berabuddies-council-builder/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add berabuddies-council-builder, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/berabuddies-council-builder/ and pins it in .decimal/skills.lock

decimalai skills add berabuddies-council-builder

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/berabuddies-council-builder/SKILL.md https://app.decimal.ai/s/berabuddies-council-builder/SKILL.md

Raw file: /s/berabuddies-council-builder/SKILL.md ↗ · machine-readable summary at /s/berabuddies-council-builder.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

What file path is reserved for sharing learning logs across multiple agents in the council?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies file path `shared/learnings/CROSS-AGENT.md`	Missed	Passed

case-15 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md172 lines13 filesincludes scripts

Council Builder

Build a team of specialized AI agent personas tailored to the user's actual needs. Each agent gets a distinct personality, self-improvement capability, and clear coordination rules.

Workflow

Phase 1: Discovery

Interview the user to understand their world. Ask in batches of 2-3 questions max.

Round 1 - Identity:

What do you do? (profession, main activities, industry)
What tools and platforms do you use daily?

Round 2 - Pain Points:

What tasks eat most of your time?
Where do you feel you need the most help?

Round 3 - Preferences:

What language(s) do you work in? (for agent communication style)
Any specific domains you want covered? (coding, content, finance, research, scheduling, etc.)

Optional - History Analysis: If the user has existing OpenClaw history, scan it for patterns:

Check memory/ files for recurring tasks
Check existing workspace structure for active projects
Check installed skills for current capabilities

Do NOT proceed to Phase 2 until confident you understand the user's needs. Ask follow-up questions if anything is unclear.

Phase 2: Planning

Based on discovery, design the council:

Determine agent count: 3-7 agents. Fewer is better. Each agent must earn its existence.
Define each agent: Name, role, specialties, personality angle
Map coordination: Which agents feed data to which
Present the plan to the user in a clear table:

Track record

Benchmark

21 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

berabuddies / semia

tests/fixtures/skills/abdullah4ai/council-builder/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 12 files · scripts

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Council Builder

Workflow

Phase 1: Discovery

Phase 2: Planning

Track record

Benchmark

Adoption

SkillSafety

Source

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