# Gsd Progress

> Check project progress, show context, and route to next action (execute or plan)

- Skill: `spillwavesolutions/gsd-progress` (Agent Skill)
- Install (CLI): `npx skillmds@latest add spillwavesolutions/gsd-progress`
- Raw SKILL.md: https://api.skillmd.com/api/skills/spillwavesolutions/gsd-progress/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: spillwavesolutions (https://skillmd.com/u/spillwavesolutions)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/spillwavesolutions/gsd-progress

---


<codex_skill_adapter>
## A. Skill Invocation
- This skill is invoked by mentioning `$gsd-progress`.
- Treat all user text after `$gsd-progress` as `{{GSD_ARGS}}`.
- If no arguments are present, treat `{{GSD_ARGS}}` as empty.

## B. AskUserQuestion → request_user_input Mapping
GSD workflows use `AskUserQuestion` (Claude Code syntax). Translate to Codex `request_user_input`:

Parameter mapping:
- `header` → `header`
- `question` → `question`
- Options formatted as `"Label" — description` → `{label: "Label", description: "description"}`
- Generate `id` from header: lowercase, replace spaces with underscores

Batched calls:
- `AskUserQuestion([q1, q2])` → single `request_user_input` with multiple entries in `questions[]`

Multi-select workaround:
- Codex has no `multiSelect`. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:
- When `request_user_input` is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.

## C. Task() → spawn_agent Mapping
GSD workflows use `Task(...)` (Claude Code syntax). Translate to Codex collaboration tools:

Direct mapping:
- `Task(subagent_type="X", prompt="Y")` → `spawn_agent(agent_type="X", message="Y")`
- `Task(model="...")` → omit (Codex uses per-role config, not inline model selection)
- `fork_context: false` by default — GSD agents load their own context via `<files_to_read>` blocks

Parallel fan-out:
- Spawn multiple agents → collect agent IDs → `wait(ids)` for all to complete

Result parsing:
- Look for structured markers in agent output: `CHECKPOINT`, `PLAN COMPLETE`, `SUMMARY`, etc.
- `close_agent(id)` after collecting results from each agent
</codex_skill_adapter>

<objective>
Check project progress, summarize recent work and what's ahead, then intelligently route to the next action - either executing an existing plan or creating the next one.

Provides situational awareness before continuing work.
</objective>

<execution_context>
@/Users/richardhightower/clients/spillwave/src/agent-brain/.codex/get-shit-done/workflows/progress.md
</execution_context>

<process>
Execute the progress workflow from @/Users/richardhightower/clients/spillwave/src/agent-brain/.codex/get-shit-done/workflows/progress.md end-to-end.
Preserve all routing logic (Routes A through F) and edge case handling.
</process>