Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Orchestrates full project lifecycle by auto-detecting state and routing to the correct phase. Use when starting or resuming a project mid-workflow.
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Wraps the entire attune development lifecycle (brainstorm → specify → plan → execute) into a single mission with automatic state detection, type selection, and phase routing. Follows the "persistent presence lens" pattern from spec-kit:speckit-orchestrator: delegates entirely to existing skills via Skill() calls, never re-implements phase logic.
/attune:brainstorm, /attune:specify, etc.)1. State Detection
Scan for existing artifacts (project-brief.md, specification.md, etc.)
|
2. Mission Type Selection
Auto-detect type based on artifacts, or accept user override
|
3. Phase Routing Loop
For each phase in the mission type:
a. Pre-phase validation (check prerequisites)
b. Invoke Skill(attune:{phase-skill})
c. Post-phase artifact check (verify output exists)
d. Post-phase backlog triage (create GitHub issues
for out-of-scope items after brainstorm/specify)
e. Update mission state
f. User checkpoint (skippable with --auto)
g. Error handling via leyline:damage-control
|
4. Completion
All phases complete, final state saved
| Type | Phases | Auto-detected When |
|---|---|---|
full | brainstorm → specify → plan → execute | No artifacts exist |
standard | specify → plan → execute | docs/project-brief.md exists |
tactical | plan → execute | docs/specification.md exists |
quickfix | execute | docs/implementation-plan.md exists |
review | scope → investigate → verify → report | the request names existing software to audit, dogfood, or review |
review is the one type selected from request intent rather than from
artifacts, because a tree of build artifacts looks the same whether the
ask is "ship this" or "audit this". Its check runs first. It produces
reports/<topic>-<YYYY-MM-DD>.md and never enters the war-room gate,
which guards a plan-to-execute transition a review mission does not have.
See modules/mission-types.md for full type definitions and custom type support.
| Phase | Skill Invoked | Artifact Produced |
|---|---|---|
| brainstorm | Skill(attune:project-brainstorming) | docs/project-brief.md |
| specify | Skill(attune:project-specification) | docs/specification.md |
| plan | Skill(attune:project-planning) | docs/implementation-plan.md |
| execute | Skill(attune:project-execution) | Implemented code and tests |
Review missions route to the existing review skills rather than to attune phase skills:
| Phase | Skill Invoked | Artifact Produced |
|---|---|---|
| scope | Skill(pensive:tiered-audit) | Tier selection and bounded scope |
| investigate | Skill(imbue:feature-review) plus the pensive:* domain lenses | Raw findings |
| verify | Skill(imbue:proof-of-work) | Evidence references per finding |
| report | Skill(imbue:structured-output) | reports/<topic>-<YYYY-MM-DD>.md |
The orchestrator never re-implements phase logic. Each phase is a complete Skill() invocation that handles its own workflow.
Missions delegate execution by default.
Skill(conjure:delegation-core) governs the decision, and its default
posture is on: a phase that reaches execution work hands it to an
external CLI without waiting to be asked.
| Phase | Delegates | Why |
|---|---|---|
| brainstorm | No | Reasoning; the Keep Local clause holds |
| specify | No | Reasoning |
| plan | No | Reasoning |
| execute | Yes, per task | Task execution is the eligible half |
| scope, investigate, verify, report | Report and verify only | Findings are judgment; bulk extraction is not |
The split follows conjure's own line: delegate execution, retain reasoning. A mission phase that is entirely judgment stays local and does not consult the delegator at all.
Two outcomes need handling rather than reporting:
fallback_reason is providers_exhausted: no CLI answered. Say which
were tried, then do the task in the mission itself. This is the
ordinary path on a machine with no CLI installed and it does not fail
the phase.fallback_reason is delegation_disabled: the operator declined.
Do the task locally and do not offer to re-enable it.To run a whole mission without external models, set
CONJURE_DELEGATION=off before invoking it.
Missions persist state to .attune/mission-state.json. On resume:
See modules/mission-state.md for the state schema and recovery protocol.
The plan-to-execute transition uses an interactive review loop instead of a simple checkpoint. Plans are reviewed section by section, revised based on feedback, and must pass a mandatory war-room gate before execution.
Key capabilities:
See modules/plan-review.md for the full protocol.
The orchestrator parses the user's command-args and
free-text at mission start for natural-language trust
signals. Phrases like "ignore scope guard", "ultrathink",
"don't keep asking", and "be autonomous" are recognized
as directive overrides that adjust the constraint
profile without requiring an explicit
--constraints= flag.
Directive overrides win over mission-type defaults but never bypass the Safety Floor (pre-commit hooks, proof-of-work evidence, destructive-operation confirmation, external-facing actions). When a directive is detected, the orchestrator acknowledges it once at mission start and stops asking for the corresponding checkpoints. Repeated approval-seeking after a directive override is itself a workflow bug.
See modules/adaptive-constraints.md "User Directive
Override" section for the parsing table.
Define mission boundaries using the structured template from
references/mission-charter.md. A Mission Charter specifies:
See references/mission-charter.md for the full template and
examples.
Track progress with structured checkpoints using
references/progress-report.md. Generate reports at:
See references/progress-report.md for the template and
checkpoint rhythm guidance.
trust-tier.md when directive overrides are
active.This skill declares progressive_loading: true. To keep the
orchestrator's resident token cost minimal, load only the
subset of modules each mission type actually needs. The
orchestrator itself loads only the four core modules at
mission start; the rest are loaded on-demand when their
phase runs.
| Mission type | Core | Plan-review | Reflexion | Trust and adaptive |
|---|---|---|---|---|
quickfix (execute only) | yes | -- | -- | if directive |
tactical (plan -> execute) | yes | yes | if revising | if directive |
standard (specify -> plan -> execute) | yes | yes | if revising | if directive |
full (brainstorm -> specify -> plan -> execute) | yes | yes | yes | if directive |
review (scope -> investigate -> verify -> report) | yes | -- | if revising | if directive |
Token cost (approximate, computed from wc -w on hub +
loaded modules and converted at ~1.3 tokens per word):
| Mission type | Loaded modules | Approx tokens |
|---|---|---|
quickfix | hub and core (4) | ~4,100 |
tactical | hub, core, and plan-review (9) | ~6,900 |
standard | same as tactical (9) | ~6,900 |
full | hub, core, plan-review, and reflexion (10) | ~7,900 |
The previous load-all pattern brought in roughly 10,100
tokens for every mission, including quickfix runs that
only need the execute phase. With per-type loading, quickfix
is ~60% lighter and the standard / tactical / full paths
save 22-32%.
When a directive override fires, the trust-tier + adaptive-constraints pair adds ~2,200 tokens on top of the mission-type baseline.
Skill(attune:project-brainstorming) - Brainstorm phaseSkill(attune:project-specification) - Specify phaseSkill(attune:project-planning) - Plan phaseSkill(attune:project-execution) - Execute phaseSkill(attune:war-room-checkpoint) - Risk assessment for RED/CRITICAL tasksSkill(leyline:risk-classification) - Task risk classificationSkill(leyline:damage-control) - Error recovery during phasesSkill(conjure:delegation-core) - Default-on delegation of execution work/attune:mission - Invoke this skill/attune:mission --resume - Resume from saved state/attune:mission --type tactical - Override mission type.attune/mission-state.jsonproviders_exhausted result completed locally and reported with
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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