gsd-settings
Configures project-specific settings for the GSD workflow.
Install
mkdir -p .claude/skills/gsd-settings-existall && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18893" && unzip -o skill.zip -d .claude/skills/gsd-settings-existall && rm skill.zipInstalls to .claude/skills/gsd-settings-existall
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.
Configure GSD workflow toggles and model profileKey capabilities
- →Configure GSD workflow toggles
- →Adjust GSD model profiles
- →Read and parse current GSD settings
- →Merge and write new GSD configurations
- →Display confirmation of settings changes
How it works
The skill interactively configures GSD workflow agents and model profiles by reading current settings, prompting the user for changes, merging the new configuration, and writing it to the appropriate files.
Inputs & outputs
When to use gsd-settings
- →Update agent model profile
- →Toggle workflow settings
- →Configure GSD behaviors
About this skill
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-settings. - Treat all user text after
$gsd-settingsas{{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 or unavailable, activate TEXT_MODE: append--textto{{GSD_ARGS}}so the workflow's built-in text-mode branching takes over. Present everyAskUserQuestioncall 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 (
--autoor--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:
Schema detection (required first step): Codex exposes two spawn_agent schemas:
- agent_type-capable schema (e.g.
multi_agent_v2):spawn_agentacceptsagent_type,message,reasoning_effort,fork_context, etc. — typed GSD agent dispatch is available. - Generic schema (
multi_agent_v1):spawn_agentaccepts onlymessage,items,fork_context— there is noagent_typefield. Typed GSD agent dispatch is unavailable in this session.
Before spawning, inspect the spawn_agent tool's visible parameter schema (via tool_search or the tool list) to determine which form is active.
Typed mapping (agent_type-capable schema only):
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_agenthas no inlinemodelparameter; GSD embeds the resolved per-agent model directly into each agent's.tomlat install time somodel_overridesfrom.planning/config.jsonand~/.gsd/defaults.jsonare honored automatically by Codex's agent router.- Resolved
reasoning_effort="low|medium|high|xhigh"(xhighis a GSD/Codex tier, not a generic runtime enum) → passreasoning_efforttospawn_agentwhen the runtime/tool supports it. Omit missing, empty, inherited, or unsupported values; do not invent one-off effort literals in workflow prose. fork_context: falseby default — GSD agents load their own context via<files_to_read>blocksTask(isolation="worktree")/Agent(isolation="worktree")→ no direct Codex mapping. Codexspawn_agentdoes 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).
Generic-agent workaround (multi_agent_v1 schema — NO agent_type field):
When only the generic multi_agent_v1 schema is available, typed GSD agent dispatch
(gsd-planner, gsd-executor, etc.) is NOT possible. This is a known Codex limitation
(openai/codex#15250). This workaround is NOT equivalent to typed gsd-planner/gsd-executor
execution — GSD agents carry project-aware prompts, audit logging, and workflow context
that a generic subagent lacks. Use the following fallback:
- Resolve your active Codex config root — the directory that contains your
config.toml. This directory is determined in priority order:$CODEX_HOME(if set), the path given by--config-dir(if passed on invocation), a local.codexdirectory in the current project (if--localwas used), or the default global config directory. Readagents/<agent-name>.tomlrelative to that config root to extract the agent's system instructions. - Inject those instructions as a role-preamble into a generic
spawn_agent(message=...)call. - Label results and logs clearly as "generic-agent workaround" so the orchestrator and user know full typed-agent guarantees are not in effect.
- Where typed dispatch is mandatory for correctness (e.g. worktree isolation), fail closed and report the schema limitation rather than silently degrading.
Spawn restriction:
- Codex restricts
spawn_agentto 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_agentis not currently visible, discover tools first viatool_searchbefore 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>
Routes to the settings workflow which handles:
- Config existence ensuring
- Current settings reading and parsing
- Interactive 5-question prompt (model, research, plan_check, verifier, branching)
- Config merging and writing
- Confirmation display with quick command references </objective>
<execution_context> @/Users/guyludvig/frontegg/development/open-source/SimpleSettings/.codex/gsd-core/workflows/settings.md </execution_context>
<process> Execute end-to-end. </process>When not to use it
- →When the user wants to bypass interactive configuration
- →When the user wants to modify settings directly without the skill's interface
Limitations
- →Requires user interaction for configuration changes
- →Does not automatically proceed without user answers in text mode unless specific conditions are met
How it compares
This workflow provides an interactive, multi-question prompt for configuring GSD settings, which is more guided than manually editing configuration files.
Compared to similar skills
gsd-settings side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gsd-settings (this skill) | 0 | 13d | No flags | Beginner |
| linear | 10 | 1mo | No flags | Beginner |
| zapier-workflows | 11 | 8mo | Review | Beginner |
| attio-skill-generator | 7 | 7mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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