council - SKILL.md Agent Skill

name: council description: > Full execution protocol for MODE: COUNCIL -- General Council research, parallel member dispatch, disagreement handling, and synthesis.

Council Protocol

This protocol is loaded on demand by the architect stub in src/agents/architect.ts. The architect prompt keeps only activation, action, and hard safety constraints; the full execution details live here.

MODE: COUNCIL

Activates when: user invokes /swarm council <question> (optionally with --preset <name> and/or --spec-review).

Purpose: convene a fixed three-agent multi-model General Council (generalist / skeptic / domain expert) for an advisory deliberation. The architect runs a curated web research pass upfront, dispatches the three agents in parallel with the gathered RESEARCH CONTEXT, routes any disagreements back for one targeted reconciliation round, and synthesizes the final user-facing answer directly.

This mode is ADVISORY. It does not block any other workflow and does not modify code, plans, or specs. The output is for the user (general mode) or for the spec being drafted (spec_review mode is available via /swarm council --spec-review for manual spec review). General Council advisory input is offered as an early workflow option in MODE: BRAINSTORM (Phase 1b) and MODE: PLAN before save_plan.

Pre-flight (always run first)

Read council.general from the resolved opencode-swarm config. Resolution is global first (~/.config/opencode/opencode-swarm.json), then project override (.opencode/opencode-swarm.json). A global config is valid and must be used when no project override is present; do not fail after checking only the project file. If council.general.enabled is not true OR no search API key is configured (neither council.general.searchApiKey nor the corresponding env var TAVILY_API_KEY / BRAVE_SEARCH_API_KEY), surface to the user: "General Council is not enabled. Set council.general.enabled: true and configure a search API key in global ~/.config/opencode/opencode-swarm.json or project .opencode/opencode-swarm.json." Then STOP.

Research Phase (always run before dispatching council agents)

Formulate 1-3 targeted web_search queries that best capture the information needed to answer the question. Prefer specific, keyword-focused queries over broad ones.

Hard grounding rules:
- Do not append a model training-cutoff year to searches.
- Use web_search with its default freshness: "auto" behavior for current queries unless the user explicitly asked for a historical window.
- Preserve each web_search result's normalized query, temporalIntent, freshness, and removedStaleYears metadata in RESEARCH CONTEXT audit notes.
- For current, latest, today, now, state-of-the-art, pricing, release-status, legal/regulatory, financial, security, or otherwise time-sensitive questions, the Research Phase must produce usable current sources before council dispatch.
- If web_search returns no results or an error for a time-sensitive question, stop and surface the failed search result to the user instead of dispatching ungrounded members.
- For stable/non-current questions, if web_search returns no results or an error, note this in the dispatch message and proceed without a context block. In that degraded mode, members may use stable background knowledge only and must not make current-fact claims.
Compile all successful results into a RESEARCH CONTEXT block in this format:

RESEARCH CONTEXT
================
[1] <title> - <url>
    <snippet>
    query: <normalized query>; temporalIntent: <current|historical|unspecified>; freshness: <day|week|month|year|none>; removedStaleYears: <comma-separated years or none>

[2] <title> - <url>
    <snippet>
...

Round 1 - Parallel Independent Analysis

Dispatch the active swarm's council_generalist agent, the active swarm's council_skeptic agent, and the active swarm's council_domain_expert agent with dispatch_lanes_async when available -- one lane per agent. Record the returned batch_id, then continue only non-dependent architect work: prepare the synthesis outline, normalize the RESEARCH CONTEXT citations, and draft disagreement categories. Do not call convene_general_council or present conclusions from running lanes. Dispatch promptly — do not accumulate extensive planning prose before the call, or output truncation may swallow the tool call itself. Keep each lane prompt compact: send shared context ONCE via the common_prompt field, or have lanes read it from a file by absolute path, instead of inlining the same large blob into every lane prompt. Each dispatch message must include:
- The question
- Round number: 1
- The CURRENT DATE in ISO YYYY-MM-DD form
- The full RESEARCH CONTEXT block from step 2
- Instruction: "Cite from the RESEARCH CONTEXT for external evidence. Your memberId and role are hardcoded in your system prompt."

Do NOT share other agents' responses at this stage.

Call collect_lane_results with wait: true for the Round 1 batch and collect all three JSON responses. If dispatch_lanes_async is unavailable, use blocking parallel dispatch and record that async advisory lanes were unavailable. The round1Responses array will contain entries with memberId of council_generalist, council_skeptic, and council_domain_expert and role of generalist, skeptic, and domain_expert respectively. If any lane result has output_ref, call retrieve_lane_output and parse the full artifact rather than the preview. If a lane is degraded, incomplete, truncated without a usable ref, missing, stale, cancelled, or failed, treat the council round as blocked or incomplete; do not synthesize from partial member JSON. These come from the agents' JSON output; no manual construction is needed.

Synthesis and Deliberation (when council.general.deliberate is true; default true)

Call convene_general_council with mode set from the command (general or spec_review), question, and the collected round1Responses only (omit round2Responses). Inspect the returned disagreementsCount.
If disagreementsCount > 0: a. For each disagreement in the tool's response, identify the disputing agents (the agents listed in the disagreement's positions, identified by memberId: council_generalist, council_skeptic, or council_domain_expert). b. Re-delegate ONLY to the disputing agents -- one message per agent -- passing: their Round 1 response, the disagreement topic, the opposing position(s), round number 2, and the same RESEARCH CONTEXT block. c. Collect the Round 2 responses. d. Call convene_general_council AGAIN with both round1Responses AND round2Responses populated.

Output

Present the final answer to the user from the synthesis returned by convene_general_council. Apply these output rules directly:
- LEAD WITH CONSENSUS: open with the strongest consensus position. Confidence-weighted: higher-confidence claims from multiple agents rank first, but evidence quality outranks raw confidence. Never elevate a single confident voice over a well-evidenced contrary majority.
- ACKNOWLEDGE DISAGREEMENT HONESTLY: for each persisting disagreement, write "experts disagree on X because..." and present the strongest version of each side. Do not pretend disagreements are resolved. Do not silently pick a winner.
- CITE THE STRONGEST SOURCES: link key claims with [title](url) format from the source list in the synthesis. Pick the most reputable source per claim; do not cite duplicates.
- BE CONCISE: a few short paragraphs plus a bulleted summary. Expand only when the question genuinely requires it.
- HARD CONSTRAINTS: You MUST NOT invent claims not present in the council's responses. You MUST NOT add new web research. You MUST NOT favor a position based on confidence alone.

Preface the answer with one line listing the participating models (reviewer model as generalist, critic model as skeptic, SME model as domain expert). Do NOT present raw per-member JSON.