Automates the mapping of natural language requests to specific GSD commands.
Install
mkdir -p .claude/skills/gsd-do && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12802" && unzip -o skill.zip -d .claude/skills/gsd-do && rm skill.zipInstalls to .claude/skills/gsd-do
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Route freeform text to the right GSD command automaticallyKey capabilities
- →Analyze freeform natural language input
- →Dispatch input to the most appropriate GSD command
- →Translate `AskUserQuestion` to `request_user_input`
- →Translate `Task()` to `spawn_agent`
- →Handle multi-select questions with workarounds
- →Parse structured markers from agent output
How it works
This skill analyzes freeform natural language input to determine user intent and then dispatches it to the most suitable GSD command, acting as a smart router.
Inputs & outputs
When to use gsd-do
- →Route task
- →Collect user input
- →Spawn agent
About this skill
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-do. - Treat all user text after
$gsd-doas{{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→headerquestion→question- Options formatted as
"Label" — description→{label: "Label", description: "description"} - Generate
idfrom header: lowercase, replace spaces with underscores
Batched calls:
AskUserQuestion([q1, q2])→ singlerequest_user_inputwith multiple entries inquestions[]
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_inputis 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: falseby 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>
Acts as a smart dispatcher — never does the work itself. Matches intent to the best GSD command using routing rules, confirms the match, then hands off.
Use when you know what you want but don't know which /gsd-* command to run.
</objective>
<execution_context> @C:/ExtratorLaudos/.codex/get-shit-done/workflows/do.md @C:/ExtratorLaudos/.codex/get-shit-done/references/ui-brand.md </execution_context>
<context> {{GSD_ARGS}} </context> <process> Execute the do workflow from @C:/ExtratorLaudos/.codex/get-shit-done/workflows/do.md end-to-end. Route user intent to the best GSD command and invoke it. </process>When not to use it
- →When the skill should perform the work itself
- →When the intent is to bypass routing rules
- →When the user knows exactly which `/gsd-*` command to run
Limitations
- →Codex has no `multiSelect` functionality
- →Does not perform the work itself
- →Requires `AskUserQuestion` to be translated to `request_user_input`
How it compares
This workflow acts as an intelligent dispatcher, routing user intent to specific GSD commands, which is more efficient than manually selecting and invoking commands.
Compared to similar skills
gsd-do side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gsd-do (this skill) | 0 | 3mo | No flags | Intermediate |
| pptx | 393 | 6mo | Review | Advanced |
| nano-pdf | 63 | 2mo | Review | Beginner |
| video-downloader | 101 | 7mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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