| name | local-council-execution |
| description | Runs a local council when no external AI providers are configured. Spawns N independent Claude subagents (one per role, blind to each other) that each answer the question from a single assigned lens, then synthesizes their perspectives. Invoked by the ask command via --local, or when the user accepts the local-council offer after no providers are found. This is a same-model (Claude-only) panel, not a cross-vendor council. |
Local Council Execution
When no external providers are configured, convene a council of independent
Claude subagents instead. Each member answers from one role, blind to the
others; you then synthesize the spread of perspectives.
Read this first — the honest framing is not optional. Every member is
Claude. They share priors and training, so agreement between them is weak
signal, not validation. The value here is independent angles and blind-spot
coverage, not consensus. The output you produce MUST make this explicit and
MUST NOT present member agreement as if it were cross-vendor corroboration.
Step 0: Confirm this is a local-council context (guard)
A local council is the fallback for when no real providers exist — it is not
a default way to "use the council". Only proceed if one of these holds:
- The user explicitly passed
--local, or
- There are no configured providers and the user accepted the local-council
offer.
If you reached this skill any other way, verify providers are actually absent
before spawning anything:
bash ${CLAUDE_PLUGIN_ROOT}/scripts/query-council.sh --list-default 2>&1 | head -1
If that lists one or more providers and the user did not ask for --local,
STOP — do not spawn local members. Run the standard cross-vendor flow
(council-execution) so the real providers answer, since same-model role-play is
strictly weaker than the cross-vendor council the user can actually get.
Step 1: Resolve the roles
Source the libs once:
source ${CLAUDE_PLUGIN_ROOT}/scripts/lib/prompts.sh
source ${CLAUDE_PLUGIN_ROOT}/scripts/lib/roles.sh
If the user passed --roles, it already says both which lenses and how many
members — use it directly and skip the size question:
local_council_roles "<--roles value>"
Otherwise, ask the user how many members to convene, then resolve that many:
AskUserQuestion:
Question: "How many independent perspectives should the local council convene? More members means broader angle coverage, but a longer run and synthesis."
Header: "Members"
multiSelect: false
Options:
- "4 (Recommended) - balanced breadth"
- "3 - quick, three sharpest lenses"
- "5 - thorough"
- "6 - exhaustive"
Then pass the chosen number as the count:
local_council_roles "" "<chosen number>"
local_council_roles returns a comma-separated role list (e.g.
devil,simplicity,security,scalability). Each role becomes one council member;
N = number of roles. It draws from a diverse ordering and clamps to the 8
available roles — a user who wants more or specific lenses can pass --roles
(e.g. --roles=security,devil,simplicity,scalability,dx,compliance). If you want
to be safe, validate_roles "<list>" returns non-zero on an unknown role.
Step 2: Assemble the question + context
Build the text each member will answer:
- The user's question.
- Any file context gathered via
--file or auto-context (the same context the
cross-vendor flow would send). Include it inline so members can reason about it
even though they will also read referenced files themselves.
Step 3: Spawn the members in parallel
For each role, build the role-injected prompt and spawn one member. See
agent-prompt-template.md for the exact prompt and the
build_prompt_with_role call.
Launch all members in a single message (multiple Agent tool calls) with:
subagent_type: "general-purpose"
run_in_background: true
The member framing (independent, blind to the others, commit to the assigned
lens, return format) lives in the prompt itself — see the template. Launching
them together runs them concurrently and keeps each one blind to the others.
Step 4: Collect results
You are notified automatically as each background member finishes. Wait for ALL
of them before synthesizing. If a member fails or times out, note it and
continue with the rest.
Step 5: Display each perspective
Lead with this banner verbatim (it sets honest expectations):
Local council — these perspectives all come from Claude playing different
roles, not from different AI vendors. Treat agreement as a shared starting
point to pressure-test, not as independent confirmation.
Then, for each member, display its perspective under a header naming the role
(use get_role_name "<role>" for the display name):
## 🗳️ {ROLE_NAME}
{member's Position / Key points / Risks & blind spots / Confidence}
Step 6: Synthesize — angles, not consensus
Because members share a model, frame the synthesis around spread and coverage,
NOT agreement strength:
- Shared starting points — where members converged. Explicitly note this is
a common prior to stress-test, not corroboration, and ask what they might all
be missing for the same reason.
- Genuine tensions — where the roles pull in different directions, and what
the user's specific situation implies about which tension matters most here.
- Blind spots — risks raised by one member that the others' approaches would
walk into. Also flag anything no member covered.
- Suggested direction — your best synthesized recommendation, naming which
roles support it and where the real uncertainty remains.
Step 7: Save output
mkdir -p .claude/council-cache
Write the full output (banner + all member perspectives + synthesis) to
.claude/council-cache/local-council-{TIMESTAMP}.md where TIMESTAMP is the
current Unix timestamp. Then tell the user:
Local council saved to .claude/council-cache/local-council-{TIMESTAMP}.md
For cross-vendor perspectives, configure a provider key or install a CLI
(/claude-council:status shows what's available).
Error Handling
- If a member fails, show the failure and continue with the others.
- If ALL members fail, report clearly and suggest retrying.
- If only one role resolved, say so — a one-member "council" is just a single
role-played answer, and the user should know that.