skillweave-council

name	skillweave-council
description	Multi-Model LLM Council — Deliberation, Peer Review, and Chairman Synthesis with Web Search and Faigate Routing
argument-hint	topic="[topic]" time_range="[30d|quarter|6mo|1yr|any]" mode="[quick|standard|full]" profile="[default|quick|deep|expert]" output="[markdown|json]" phase="[discovery|design|code_review|post_release]"

skillweave-council

Collective AI Intelligence — Instead of asking one LLM, convene a council of AI models that deliberate, peer-review, and synthesize the best answer.

Overview

skillweave-council is a standalone SkillWeave skill that implements the LLM Council pattern:

1. Stage 1 — Deliberation: Multiple models answer independently in parallel (via Faigate routing)
2. Stage 2 — Peer Review: Models anonymously rank each other's responses
3. Stage 3 — Chairman Synthesis: A chairman model synthesizes the final answer

Optional Stage 0: Web Search (DuckDuckGo, Serper, Tavily, Brave) grounds responses in real-time data with configurable time ranges.

Usage

/skillweave-council topic="Wettbewerbsanalyse Q2 2026" time_range="quarter" mode="full"

/skillweave-council topic="Evaluate this architecture decision..." mode="full" output="json" phase="code_review"

/skillweave-council command="search" topic="latest AI trends" time_range="30d"

/skillweave-council command="profiles"

/skillweave-council command="compare" topic="..." profile="quick"

Commands

Command	Description	Stages
deliberate	Full council deliberation (default)	0→1→2→3
compare	Side-by-side model comparison	0→1
search	Web search only (no models)	0
profiles	List available council profiles	—

Parameters

Parameter	Values	Default	Description
topic	string	required	Question or topic for the council
time_range	30d, quarter, 6mo, 1yr, any	any	Web search time window
mode	quick, standard, full	full	Execution depth
profile	default, quick, deep, expert	default	Pre-configured model set
output	markdown, json	markdown	Output format
phase	discovery, design, code_review, post_release	—	SkillWeave lifecycle phase context

Council Profiles

Profile	Models	Mode	Use Case
default	4 models (balanced)	standard	General-purpose deliberation
quick	2 models (fastest)	quick	Rapid comparison, low latency
deep	6 models (diverse)	full	Comprehensive analysis
expert	4 models (top-tier)	full	High-stakes decisions, research

Execution Modes

Mode	Stages	Description
quick	Stage 1 only	Models answer independently, no review
standard	Stages 1 + 2	Models answer + peer review with rankings
full	All 3 stages	Deliberation + peer review + chairman synthesis

Web Search Providers

Provider	Type	Key Required
DuckDuckGo	Free web+news	No
Serper	Google results	Yes (SERPER_API_KEY)
Tavily	LLM-optimized	Yes (TAVILY_API_KEY)
Brave	Privacy-focused	Yes (BRAVE_API_KEY)

Phase Integration

skillweave-council integrates with the SkillWeave 7-phase lifecycle:

Phase	Council Focus	Typical Use
discovery	Market research, competitive analysis	Replaces last30days
design	Design evaluation, UX critique	Optional design review
code_review	Architecture review, code quality	Build-phase quality gate
post_release	Feedback analysis, pattern detection	Release retrospective

Output Format

Markdown (default)

A structured markdown document with the chairman's synthesis, council rankings, and individual model responses.

JSON

Structured output with schema validation:

{
  "title": "Concise answer title",
  "summary": "Executive summary",
  "key_insights": ["Insight 1", "Insight 2"],
  "consensus_score": 0.85,
  "dissent": "Minor disagreement on timeline",
  "sources": ["Source A", "Source B"]
}

Faigate Integration

skillweave-council uses Faigate for model routing:

• Automatic availability check before queries
• Credit balance verification
• Failed models gracefully excluded (no council abort)
• Multi-provider routing through a single API

No API key management needed — Faigate handles authentication internally.

Sandbox Preflight

The council validates:

1. Faigate endpoint reachable
2. At least 2 models available (for peer review)
3. Chairman model available (for full mode)
4. Web search provider configured (if time_range specified)
5. JSON schema valid (if output=json)

Testing

Test	Description
Stage 1 parallel execution	All models respond within timeout
Stage 1 graceful failure	1 model fails, others succeed
Stage 2 anonymization	Responses anonymized as A/B/C
Stage 2 ranking parse	FINAL RANKING: format parsed correctly
Stage 3 markdown synthesis	Chairman produces valid markdown
Stage 3 JSON output	Valid JSON with schema compliance
Faigate availability mock	Check returns model statuses
Web search DuckDuckGo	Real search returns results
Time-range filter	30d/quarter/6mo/1yr filtering
Council profile selection	All 4 profiles load correctly
Phase context injection	Discovery/design prompts modify output
Standalone mode	No phase context = generic prompt