Parallel multi-model consensus review with configurable perspectives, debate rounds, and deep exploration.
Works with
Supports three task modes: validate (PASS/WARN/FAIL verdicts), brainstorm (explore alternatives), and research (deep analysis with trade-offs)
Spawns 2–3 independent judges by default; scales to 6+ agents with --deep , --mixed (Claude + Codex), and --explorers sub-agents, capped at 12 total
Debate mode ( --debate ) runs two-round adversarial review with verdict exchange and posi
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncouncilExecute the skills CLI command in your project's root directory to begin installation:
Fetches council from boshu2/agentops and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate council. Access via /council in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
1
total installs
1
this week
260
GitHub stars
0
upvotes
Run in your terminal
1
installs
1
this week
260
stars
Spawn parallel judges with different perspectives, consolidate into consensus. Works for any task — validation, research, brainstorming.
/council --quick validate recent # fast inline check
/council validate this plan # validation (2 agents)
/council brainstorm caching approaches # brainstorm
/council validate the implementation # validation (critique triggers map here)
/council research kubernetes upgrade strategies # research
/council research the CI/CD pipeline bottlenecks # research (analyze triggers map here)
/council --preset=security-audit validate the auth system # preset personas
/council --deep --explorers=3 research upgrade automation # deep + explorers
/council --debate validate the auth system # adversarial 2-round review
/council --deep --debate validate the migration plan # thorough + debate
/council # infers from context
Council works independently — no RPI workflow, no ratchet chain, no ao CLI required. Zero setup beyond initial install.
| Mode | Agents | Execution Backend | Use Case |
|---|---|---|---|
--quick |
0 (inline) | Self | Fast single-agent check, no spawning |
| default | 2 | Runtime-native (Codex sub-agents preferred; Claude teams fallback) | Independent judges (no perspective labels) |
--deep |
3 | Runtime-native | Thorough review |
--mixed |
3+3 | Runtime-native + Codex CLI | Cross-vendor consensus |
--debate |
2+ | Runtime-native | Adversarial refinement (2 rounds) |
/council --quick validate recent # inline single-agent check, no spawning
/council recent # 2 runtime-native judges
/council --deep recent # 3 runtime-native judges
/council --mixed recent # runtime-native + Codex CLI
Council requires a runtime that can spawn parallel subagents and (for --debate) send messages between agents. Use whatever multi-agent primitives your runtime provides. If no multi-agent capability is detected, fall back to --quick (inline single-agent).
Required capabilities:
--quick)--debate)Skills describe WHAT to do, not WHICH tool to call. See skills/shared/SKILL.md for the capability contract.
After detecting your backend, read the matching reference for concrete spawn/wait/message/cleanup examples:
skills/shared/references/claude-code-latest-features.mdreferences/claude-code-latest-features.mdreferences/backend-claude-teams.mdreferences/backend-codex-subagents.mdreferences/backend-background-tasks.md--quick) → references/backend-inline.mdSee also references/cli-spawning.md for council-specific spawning flow (phases, timeouts, output collection).
--debateUse --debate for high-stakes or ambiguous reviews where judges are likely to disagree:
Skip --debate for routine validation where consensus is expected. Debate adds R2 latency (judges stay alive and process a second round via backend messaging).
Incompatibilities:
--quick and --debate cannot be combined. --quick runs inline with no spawning; --debate requires multi-agent rounds. If both are passed, exit with error: "Error: --quick and --debate are incompatible."--debate is only supported with validate mode. Brainstorm and research do not produce PASS/WARN/FAIL verdicts. If combined, exit with error: "Error: --debate is only supported with validate mode."| Type | Trigger Words | Perspective Focus |
|---|---|---|
| validate | validate, check, review, assess, critique, feedback, improve | Is this correct? What's wrong? What could be better? |
| brainstorm | brainstorm, explore, options, approaches | What are the alternatives? Pros/cons? |
| research | research, investigate, deep dive, explore deeply, analyze, examine, evaluate, compare | What can we discover? What are the properties, trade-offs, and structure? |
Natural language works — the skill infers task type from your prompt.
When mode is validate and the target is a plan/spec/contract (or contains boundary rules, state transitions, or conformance tables), judges must apply this gate before returning PASS:
Verdict policy for this gate:
WARN.WARN.FAIL.Judges write ALL analysis to output files. Messages to the lead contain ONLY a
minimal completion signal: {"type":"verdict","verdict":"...","confidence":"...","file":"..."}.
The lead reads output files during consolidation. This prevents N judges from
exploding the lead's context window with N full reports via SendMessage.
Consolidation runs inline as the lead — no separate chairman agent. The lead reads each judge's output file sequentially with the Read tool and synthesizes.
┌─────────────────────────────────────────────────────────────────┐
│ Phase 1: Build Packet (JSON) │
│ - Task type (validate/brainstorm/research) │
│ - Target description │
│ - Context (files, diffs, prior decisions) │
│ - Perspectives to assign │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ Phase 1a: Select spawn backend │
│ codex_subagents | claude_teams | background_fallback │
│ Team lead = spawner (this agent) │
└─────────────────────────────────────────────────────────────────┘
│
┌─────────────────┴─────────────────┐
▼ ▼
┌───────────────────────┐ ┌───────────────────────┐
│ RUNTIME-NATIVE JUDGES│ │ CODEX AGENTS │
│ (spawn_agent or teams)│ │ (Bash tool, parallel)│
│ │ │ Agent 1 (independent │
│ Agent 1 (independent │ │ or with preset) │
│ or with preset) │ │ Agent 2 │
│ Agent 2 │ │ Agent 3 │
│ Agent 3 (--deep only)│ │ (--mixed only) │
│ (--deep/--mixed only)│ │ │
│ │ │ Output: JSON + MD │
│ Write files, then │ │ Files: .agents/ │
│ wait()/SendMessage to │ │ council/codex-* │
│ lead │ │ │
│ Files: .agents/ │ └───────────────────────┘
│ council/claude-* │ │
└───────────────────────┘ │
│ │
└─────────────────┬─────────────────┘
▼
┌─────────────────────────────────────────────────────────────────┐
│ Phase 2: Consolidation (Team Lead — inline, no extra agent) │
│ - Receive MINIMAL completion signals (verdict + file path) │
│ - Read each judge's output file with Read tool │
│ - If schema_version is missing from a judge's output, treat │
│ as version 0 (backward compatibility) │
│ - Compute consensus verdict │
│ - Identify shared findings │
│ - Surface disagreements with attribution │
│ - Generate Markdown report for human │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ Phase 3: Cleanup │
│ - Cleanup backend resources (close_agent / TeamDelete / none) │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ Output: Markdown Council Report │
│ - Consensus: PASS/WARN/FAIL │
│ - Shared findings │
│ - Disagreements (if any) │
│ - Recommendations │
└─────────────────────────────────────────────────────────────────┘
Check for project-level reviewer configuration before spawning judges:
REVIEWER_CONFIG=".agents/reviewer-config.md"
if [ -f "$REVIEWER_CONFIG" ]; then
# Parse YAML frontmatter for reviewer list
# Example .agents/reviewer-config.md:
# ---
# reviewers:
# - security-sentinel
# - architecture-strategist
# - code-simplicity-reviewer
# plan_reviewers:
# - architecture-strategist
# skip_reviewers:
# - performance-oracle
# ---
# Additional review context goes in the markdown body.
fi
If reviewer-config.md exists:
reviewers list to select which judge perspectives to spawnplan_reviewers for plan validation specificallyskip_reviewers to exclude perspectives even if preset includes themIf no config exists, use defaults (current behavior unchanged).
For schema details and an example, see references/reviewer-config-example.md.
| Failure | Behavior |
|---|---|
| 1 of N agents times out | Proceed with N-1, note in report |
| All Codex CLI agents fail | Proceed with runtime-native judges only, note degradation |
| All agents fail | Return error, suggest retry |
| Codex CLI not installed | Skip Codex CLI judges, continue with runtime judges only (warn user) |
| No multi-agent capability | Fall back to --quick (inline single-agent review) |
| No agent messaging | --debate unavailable, single-round review only |
| Output dir missing | Create .agents/council/ automatically |
Timeout: 120s per agent (configurable via --timeout=N in seconds).
Minimum quorum: At least 1 agent must respond for a valid council. If 0 agents respond, return error.
Use the effort command to optimize token spend per judge role:
| Agent Role | Recommended Effort | Rationale |
|---|---|---|
| Judges (validate/research) | low |
Judges review evidence, not implement — shallow reasoning suffices |
| Explorers | low |
Fast breadth-first scanning |
| Chairman (consolidation) | medium |
Needs balanced reasoning for consensus synthesis |
--quick.--debate.which codex, test model availability, test --output-schema support. Downgrade mixed mode when unavailable.judges * (1 + explorers) <= MAX_AGENTS (12)mkdir -p .agents/council--quick)Single-agent inline validation. No subprocess spawning, no Task tool, no Codex. The current agent performs a structured self-review using the same output schema as a full council.
When to use: Routine checks, mid-implementation sanity checks, pre-commit quick scan.
Execution: Gather context (files, diffs) -> perform structured self-review inline using the council output_schema (verdict, confidence, findings, recommendation) -> write report to .agents/council/YYYY-MM-DD-quick-<target>.md labeled as Mode: quick (single-agent).
Limitations: No cross-perspective disagreement, no cross-vendor insights, lower confidence ceiling. Not suitable for security audits or architecture decisions.
The packet sent to each agent. File contents are included inline — agents receive the actual code/plan text in the packet, not just paths. This ensures both Claude and Codex agents can analyze without needing file access.
If .agents/ao/environment.json exists, include it in the context packet so judges can reason about available tools and environment state.
Judge prompt boundary:
.agents/ references in judge prompts..agents/ directories. Judges operate on the council packet only.{
"council_packet": {
"version": "1.0",
"mode": "validate | brainstorm | research",
"target": "Implementation of user authentication system",
"context": {
"files": [
{
"path": "src/auth/jwt.py",
"content": "<file contents inlined here>"
},
{
"path": "src/auth/middleware.py",
"content": "<file contents inlined here>"
}
]Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
council has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in council — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
council has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend council for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
council is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
council is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: council is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: council is focused, and the summary matches what you get after install.
We added council from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: council is focused, and the summary matches what you get after install.
showing 1-10 of 59