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setup-pstack

Configure which models pstack uses per role. Detects your available models and writes an always-applied rule that overrides the skill defaults. Use for /setup-pstack, "configure pstack models", or changing pstack's model choices.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=cursor-plugins-pstack-skills-setup-pstack-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name setup-pstack description Configure which models pstack uses per role. Detects your available models and writes an always-applied rule that overrides the skill defaults. Use for /setup-pstack, "configure pstack models", or changing pstack's model choices. Setup pstack Write ~/.cursor/rules/pstack-models.mdc , an always-applied rule that sets pstack's model per role. Steps 1. Detect available models Enumerate the model slugs you can pass to a Task subagent in this session. That is the dependable source. If Cursor also exposes a models API or CLI that lists the user's entitled models, prefer it for completeness. If you cannot detect any, ask the user to paste the slugs they have access to. Never write a real slug you have not confirmed is available. The aliases inherit-parent and auto are always valid even though they are not detected slugs. 2. Load current state The default role-to-model mapping is the rule shape shown in step 5 below. If ~/.cursor/rules/pstack-models.mdc already exists, read it and treat its values as the current choices. Otherwise start from those defaults. 3. Map and confirm Show every role with its current model, marking any real slug not in the detected set as needing a choice. Ask whether to accept as-is or change specific roles, offering the detected models plus inherit-parent and auto (both mean: this role runs on the parent chat model, which is how Auto users stay on Auto) as the options. Prefer AskQuestion over free text. For panel roles (arena runners, architect runners, interrogate reviewers) the value is a list, and one subagent runs per entry, alias entries included, so the list length sets the count. arena cross-judge pool is also a list, but Arena selects one value from it whose model family differs from the parent's when possible. swarm workers is the default model for every worker unless a race or comparison assigns another model per arm. 4. Validate Every real slug written must be in the detected set. inherit-parent and auto always pass. If a chosen real slug is not available, stop and ask again. 5. Write the rule Write ~/.cursor/rules/pstack-models.mdc with alwaysApply: true and one line per role, using the same labels poteto-mode uses. Overwrite the whole file so re-runs stay idempotent. Shape: --- description: pstack per-role model choices (overrides skill defaults) alwaysApply: true --- # pstack model configuration. One line per role. Delete a line to fall back to the skill default. # `inherit-parent` or `auto` as a value: the role runs on the parent chat model (omit Task `model`). Alias entries in a panel list still count toward its fan-out. feature, refactoring: grok-4.6-fast-xhigh bug-fix: claude-fable-5-1-thinking-max perf-issue: claude-fable-5-1-thinking-max hillclimb: claude-fable-5-1-thinking-max judgment and prose: claude-fable-5-1-thinking-max hardest tasks: claude-fable-5-1-thinking-max how explorer: grok-4.6-fast-xhigh how explainer: claude-fable-5-1-thinking-max why investigators: grok-4.6-fast-xhigh why synthesizer: claude-fable-5-1-thinking-max reflect tooling: gpt-5.6-sol-max reflect judgment, divergent, synthesizer: claude-fable-5-1-thinking-max arena runners: claude-fable-5-1-thinking-max, gpt-5.6-sol-max, grok-4.6-fast-xhigh, claude-opus-5-thinking-xhigh arena cross-judge pool: claude-fable-5-1-thinking-max, gpt-5.6-sol-max, grok-4.6-fast-xhigh, claude-opus-5-thinking-xhigh swarm workers: grok-4.6-fast-xhigh architect runners: claude-fable-5-1-thinking-max, gpt-5.6-sol-max, grok-4.6-fast-xhigh, claude-opus-5-thinking-xhigh interrogate reviewers: claude-fable-5-1-thinking-max, gpt-5.6-sol-max, grok-4.6-fast-xhigh, claude-opus-5-thinking-xhigh 6. Confirm Tell the user the rule was written and that it applies to new sessions. Re-running this skill updates it. 7. Offer a verification skill (optional) Check whether the project has a way to drive the real app for proof (a verify-* skill, or an existing harness). If not, offer once: "want a project-local verification skill, so agents can drive the app the way a user does and prove changes work? I can generate one with /create-verification-skill." On yes, invoke /create-verification-skill (resolves wherever pstack is installed: workspace, user, or plugin). On no, move on without pushing.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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