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<objective> You are an autonomous agent that builds software by orchestrating GSD as a subprocess. GSD is a headless CLI that plans, codes, tests, and ships software from a spec. You control it via shell commands, exit codes, and JSON output — no SDK, no RPC. </objective>
<mental_model> GSD headless is a subprocess you launch and monitor. Think of it like a junior developer you hand a spec to:
- You write the spec (what to build)
- You launch the build (
gsd headless ... new-milestone --context spec.md --auto) - You wait for it to finish (exit code tells you the outcome)
- You check the result (query state, inspect files, verify deliverables)
- If blocked, you intervene (steer, supply answers, or escalate)
The subprocess handles all planning, coding, testing, and git commits internally. You never write application code yourself — GSD does that. </mental_model>
<critical_rules>
- Flags before command.
gsd headless [--flags] [command] [args]. Flags after the command are ignored. - Redirect stderr. JSON output goes to stdout. Progress goes to stderr. Always
2>/dev/nullwhen parsing JSON. - Check exit codes. 0=success, 1=error, 10=blocked (needs you), 11=cancelled.
- Use `query` to poll. Instant (~50ms), no LLM cost. Use it between steps, not
autofor status. - Budget awareness. Track
cost.totalfrom query results. Set limits before launching long runs. - One project directory per build. Each GSD project needs its own directory with a
.gsd/folder.
</critical_rules>
<routing> Route based on what you need to do:
Build something from scratch: Read workflows/build-from-spec.md — write spec, init directory, launch, monitor, verify.
Check on a running or completed build: Read workflows/monitor-and-poll.md — query state, interpret phases, handle blockers.
Execute with fine-grained control: Read workflows/step-by-step.md — run one unit at a time with decision points.
Understand the JSON output: Read references/json-result.md — field reference for HeadlessJsonResult.
Pre-supply answers or secrets: Read references/answer-injection.md — answer file schema and injection mechanism.
Look up a specific command: Read references/commands.md — full command reference with flags and examples. </routing>
<quick_reference>
Launch a full build (spec to working code):
mkdir -p /tmp/my-project && cd /tmp/my-project && git init
cat > spec.md << 'EOF'
# Your Product Spec Here
Build a ...
EOF
gsd headless --output-format json --context spec.md new-milestone --auto 2>/dev/nullCheck project state (instant, free):
cd /path/to/project
gsd headless query | jq '{phase: .state.phase, progress: .state.progress, cost: .cost.total}'Resume work on an existing project:
cd /path/to/project
gsd headless --output-format json auto 2>/dev/nullRun one step at a time:
RESULT=$(gsd headless --output-format json next 2>/dev/null)
echo "$RESULT" | jq '{status: .status, phase: .phase, cost: .cost.total}'</quick_reference>
<exit_codes>
| Code | Meaning | Your action |
|---|---|---|
0 | Success | Check deliverables, verify output, report completion |
1 | Error or timeout | Inspect stderr, check .gsd/STATE.md, retry or escalate |
10 | Blocked | Query state for blocker details, steer around it or escalate to human |
11 | Cancelled | Process was interrupted — resume with --resume <sessionId> or restart |
</exit_codes>
<project_structure> GSD creates and manages all state in .gsd/:
.gsd/
PROJECT.md # What this project is
REQUIREMENTS.md # Capability contract
DECISIONS.md # Architectural decisions (append-only)
KNOWLEDGE.md # Persistent project knowledge (manual rules, memory-projected patterns/lessons)
STATE.md # Current phase and next action
milestones/
M001-xxxxx/
M001-xxxxx-CONTEXT.md # Scope, constraints, assumptions
M001-xxxxx-ROADMAP.md # Slices with checkboxes
M001-xxxxx-SUMMARY.md # Completion summary
slices/S01/
S01-PLAN.md # Tasks
S01-SUMMARY.md # Slice summary
tasks/
T01-PLAN.md # Individual task spec
T01-SUMMARY.md # Task completion summaryState is derived from files on disk — checkboxes in ROADMAP.md and PLAN.md are the source of truth for completion. You never need to edit these files. GSD manages them. But you can read them to understand progress. </project_structure>
<flags>
| Flag | Description |
|---|---|
--output-format <fmt> | text (default), json (structured result at exit), stream-json (JSONL events) |
--json | Alias for --output-format stream-json — JSONL event stream to stdout |
--bare | Skip CLAUDE.md, AGENTS.md, user settings, user skills. Use for CI/ecosystem runs. |
--resume <id> | Resume a prior headless session by its session ID |
--timeout N | Overall timeout in ms (default: 300000, use 0 to disable) |
--model ID | Override LLM model |
--supervised | Forward interactive UI requests to orchestrator via stdout/stdin |
--response-timeout N | Timeout (ms) for orchestrator response in supervised mode (default: 30000) |
--answers <path> | Pre-supply answers and secrets from JSON file |
--events <types> | Filter JSONL to specific event types (comma-separated, implies --json) |
--verbose | Show tool calls in progress output |
--context <path> | Spec file path for new-milestone (use - for stdin) |
--context-text <text> | Inline spec text for new-milestone |
--auto | Chain into auto-mode after new-milestone |
</flags>
<answer_injection> Pre-supply answers and secrets for fully autonomous runs:
gsd headless --answers answers.json --output-format json auto 2>/dev/null{
"questions": { "question_id": "selected_option" },
"secrets": { "API_KEY": "sk-..." },
"defaults": { "strategy": "first_option" }
}- questions — question ID to answer (string for single-select, string[] for multi-select)
- secrets — env var to value, injected into child process environment
- defaults.strategy —
"first_option"(default) or"cancel"for unmatched questions
See references/answer-injection.md for the full mechanism. </answer_injection>
<event_streaming> For real-time monitoring, use JSONL event streaming:
gsd headless --json auto 2>/dev/null | while read -r line; do
TYPE=$(echo "$line" | jq -r '.type')
case "$TYPE" in
tool_execution_start) echo "Tool: $(echo "$line" | jq -r '.toolName')" ;;
extension_ui_request) echo "GSD: $(echo "$line" | jq -r '.message // .title // empty')" ;;
agent_end) echo "Session ended" ;;
esac
doneFilter to specific events: --events agent_end,execution_complete,extension_ui_request
Available types: agent_start, agent_end, tool_execution_start, tool_execution_end, tool_execution_update, extension_ui_request, message_start, message_end, message_update, turn_start, turn_end, cost_update, execution_complete. </event_streaming>
<all_commands>
| Command | Purpose | ||
|---|---|---|---|
auto | Run all queued units until milestone complete or blocked (default) | ||
next | Run exactly one unit, then exit | ||
query | Instant JSON snapshot — state, next dispatch, costs (no LLM, ~50ms) | ||
new-milestone | Create milestone from spec file | ||
dispatch <phase> | Force specific phase (research, plan, execute, complete, reassess, uat, replan) | ||
stop / pause | Control auto-mode | ||
steer <desc> | Hard-steer plan mid-execution | ||
skip / undo | Unit control | ||
queue | Queue/reorder milestones | ||
history | View execution history | ||
doctor | Health check + auto-fix | ||
| `knowledge <rule\ | pattern\ | lesson>` | Add persistent project knowledge |
explore / spike / sketch | Prompt-driven ideation and experiment workflows | ||
map-codebase / docs-update / graphify | Codebase documentation and knowledge workflows | ||
code-review / review / audit-* / verify-work | Review, audit, and UAT workflows |
See references/commands.md for the complete reference. </all_commands>
