.agents/skills/gsd-execute-phase/SKILL.md
Execute all plans in a phase with wave-based parallelization
npx skillsauth add scaixeta/CindyAgent gsd-execute-phaseInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Orchestrator stays lean: discover plans, analyze dependencies, group into waves, spawn subagents, collect results. Each subagent loads the full execute-plan context and handles its own plan.
Optional wave filter:
--wave N executes only Wave N for pacing, quota management, or staged rolloutFlag handling rule:
$ARGUMENTS$ARGUMENTS, treat it as inactiveContext budget: ~15% orchestrator, 100% fresh per subagent. </objective>
<execution_context> @.agents/get-shit-done/workflows/execute-phase.md @.agents/get-shit-done/references/ui-brand.md </execution_context>
<context> Phase: $ARGUMENTSAvailable optional flags (documentation only — not automatically active):
--wave N — Execute only Wave N in the phase. Use when you want to pace execution or stay inside usage limits.--gaps-only — Execute only gap closure plans (plans with gap_closure: true in frontmatter). Use after verify-work creates fix plans.--interactive — Execute plans sequentially inline (no subagents) with user checkpoints between tasks. Lower token usage, pair-programming style. Best for small phases, bug fixes, and verification gaps.Active flags must be derived from $ARGUMENTS:
--wave N is active only if the literal --wave token is present in $ARGUMENTS--gaps-only is active only if the literal --gaps-only token is present in $ARGUMENTS--interactive is active only if the literal --interactive token is present in $ARGUMENTSContext files are resolved inside the workflow via gsd-tools init execute-phase and per-subagent <files_to_read> blocks.
</context>
data-ai
Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong
data-ai
Execute a trivial task inline — no subagents, no planning overhead
tools
Route freeform text to the right GSD command automatically
data-ai
Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults).