GS

gsd-profile-user

Creates a behavioral profile of the user to help AI agents personalize their assistance.

Install

mkdir -p .claude/skills/gsd-profile-user && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13539" && unzip -o skill.zip -d .claude/skills/gsd-profile-user && rm skill.zip

Installs to .claude/skills/gsd-profile-user

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.

Generate developer behavioral profile and create Claude-discoverable artifacts
78 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Generate developer behavioral profile from session analysis
  • Create Claude-discoverable artifacts like `USER-PROFILE.md`
  • Personalize agent responses based on profile
  • Handle consent gate before session analysis
  • Orchestrate profile generation and result display
  • Generate `gsd-dev-preferences` skill config

How it works

The skill generates a developer behavioral profile from session analysis or a questionnaire, then creates artifacts like `USER-PROFILE.md` and skill configurations to personalize agent responses.

Inputs & outputs

You give it
Session analysis or questionnaire data
You get back
Developer behavioral profile and personalized agent configuration artifacts

When to use gsd-profile-user

  • Creating a user behavioral profile
  • Configuring AI assistant preferences
  • Setting up personalized AI interaction styles

About this skill

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-profile-user.
  • Treat all user text after $gsd-profile-user 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:

  • headerheader
  • questionquestion
  • 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 or unavailable, activate TEXT_MODE: append --text to {{GSD_ARGS}} so the workflow's built-in text-mode branching takes over. Present every AskUserQuestion call as a plain-text numbered list, then stop and wait for the user's reply. Do NOT pick a default and continue (#3018 / #3808).
  • You may only proceed without a user answer when one of these is true: (a) the invocation included an explicit non-interactive flag (--auto or --all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths).
  • Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.

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")
  • Agent(subagent_type="X", prompt="Y")spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit. spawn_agent has no inline model parameter; GSD embeds the resolved per-agent model directly into each agent's .toml at install time so model_overrides from .planning/config.json and ~/.gsd/defaults.json are honored automatically by Codex's agent router.
  • Resolved reasoning_effort="low|medium|high|xhigh" (xhigh is a GSD/Codex tier, not a generic runtime enum) → pass reasoning_effort to spawn_agent when the runtime/tool supports it. Omit missing, empty, inherited, or unsupported values; do not invent one-off effort literals in workflow prose.
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks
  • Task(isolation="worktree") / Agent(isolation="worktree") → no direct Codex mapping. Codex spawn_agent does not create or bind a git worktree automatically. Workflows that require this isolation must fail closed or use an explicit manual worktree protocol before spawning (#3360).

Spawn restriction:

  • Codex restricts spawn_agent to cases where the user has explicitly requested sub-agents. When automatic spawning is not permitted, do the work inline in the current agent rather than attempting to force a spawn.
  • In some Codex sessions, multi-agent tooling can be deferred. If spawn_agent is not currently visible, discover tools first via tool_search before defaulting to inline execution.

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> Generate a developer behavioral profile from session analysis (or questionnaire) and produce artifacts (USER-PROFILE.md, `gsd-dev-preferences` skill config, AGENTS.md section) that personalize the agent's responses.

Routes to the profile-user workflow which orchestrates the full flow: consent gate, session analysis or questionnaire fallback, profile generation, result display, and artifact selection. </objective>

<execution_context> @/home/pingu/Projects/PatagonIA/.codex/gsd-core/workflows/profile-user.md @/home/pingu/Projects/PatagonIA/.codex/gsd-core/references/ui-brand.md </execution_context>

<context> Flags from {{GSD_ARGS}}: - `--questionnaire` -- Skip session analysis entirely, use questionnaire-only path - `--refresh` -- Rebuild profile even when one exists, backup old profile, show dimension diff </context> <process> Execute the profile-user workflow end-to-end.

The workflow handles all logic including:

  1. Initialization and existing profile detection
  2. Consent gate before session analysis
  3. Session scanning and data sufficiency checks
  4. Session analysis (profiler agent) or questionnaire fallback
  5. Cross-project split resolution
  6. Profile writing to USER-PROFILE.md
  7. Result display with report card and highlights
  8. Artifact selection (dev-preferences, AGENTS.md sections)
  9. Sequential artifact generation
  10. Summary with refresh diff (if applicable)
</process>

When not to use it

  • When `spawn_agent` is not permitted by the user or tooling
  • When automatic spawning is not permitted, forcing inline work
  • When `spawn_agent` does not create or bind a git worktree automatically for isolation

Limitations

  • Requires explicit user request for sub-agents when using `spawn_agent`
  • Requires user answers for plain-text questions unless non-interactive flags are set

How it compares

This skill automates the creation of a personalized developer profile and configures AI agents to adapt to it, providing a tailored interaction experience rather than a generic one.

Compared to similar skills

gsd-profile-user side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
gsd-profile-user (this skill)02moNo flagsIntermediate
linear102moNo flagsBeginner
zapier-workflows118moReviewBeginner
attio-skill-generator77moReviewIntermediate

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Example prompts that trigger this skill in your AI assistant.

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