gsd-extract_learnings
Automates the extraction of key decisions and lessons learned from past project phases to improve future workflows.
Install
mkdir -p .claude/skills/gsd-extract-learnings && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16570" && unzip -o skill.zip -d .claude/skills/gsd-extract-learnings && rm skill.zipInstalls to .claude/skills/gsd-extract-learnings
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.
Extract decisions, lessons, patterns, and surprises from completed phase artifactsKey capabilities
- →Extract decisions from completed phase artifacts
- →Extract lessons from completed phase artifacts
- →Extract patterns from completed phase artifacts
- →Extract surprises from completed phase artifacts
- →Map `AskUserQuestion` to `request_user_input`
- →Map `Task()` to `spawn_agent`
How it works
This skill extracts structured learnings from completed phase artifacts by translating GSD workflow syntax (`AskUserQuestion`, `Task()`) to Codex tool calls (`request_user_input`, `spawn_agent`), then processes the artifacts to identify decisions, lessons, patterns, and surprises into a `LEARNINGS.md` file.
Inputs & outputs
When to use gsd-extract_learnings
- →Summarizing lessons from a completed feature sprint
- →Generating a report on technical decisions made
- →Extracting patterns from project documentation
About this skill
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-extract_learnings. - Treat all user text after
$gsd-extract_learningsas{{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>
<execution_context> @/Users/gabrielwillen/VSCode/stateforward/emel/emel.cpp/.codex/get-shit-done/workflows/extract_learnings.md </execution_context>
Execute the extract-learnings workflow from @/Users/gabrielwillen/VSCode/stateforward/emel/emel.cpp/.codex/get-shit-done/workflows/extract_learnings.md end-to-end.
When not to use it
- →When the input is not a completed phase artifact
- →When `AskUserQuestion` is expected to have `multiSelect` functionality
- →When `Task()` is expected to use inline model selection
Limitations
- →Codex has no `multiSelect` for `request_user_input`
- →Codex uses per-role config, not inline model selection for `spawn_agent`
- →Relies on structured markers in agent output for result parsing
How it compares
This skill systematically extracts structured learnings from project artifacts by mapping GSD workflow steps to agent tool calls, providing a consistent and automated knowledge capture process compared to manual review.
Compared to similar skills
gsd-extract_learnings side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gsd-extract_learnings (this skill) | 0 | 4mo | No flags | Intermediate |
| product-manager-toolkit | 32 | 8mo | Review | Beginner |
| trellis-brainstorm | 0 | 1mo | Review | Intermediate |
| grill-destination | 0 | 2mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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