gsd-discuss-phase

Solid

Gather phase context through adaptive questioning before planning.

AI & Automation 6 stars 0 forks Updated yesterday MIT

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Quality Score: 78/100

Stars 20%
28
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

<cursor_skill_adapter> ## A. Skill Invocation - This skill is invoked when the user mentions `gsd-discuss-phase` or describes a task matching this skill. - Treat all user text after the skill mention as `{{GSD_ARGS}}`. - If no arguments are present, treat `{{GSD_ARGS}}` as empty. ## B. User Prompting When the workflow needs user input, prompt the user conversationally: - Present options as a numbered list in your response text - Ask the user to reply with their choice - For multi-select, ask for comma-separated numbers ## C. Tool Usage Use these Cursor tools when executing GSD workflows: - `Shell` for running commands (terminal operations) - `StrReplace` for editing existing files - `Read`, `Write`, `Glob`, `Grep`, `Task`, `WebSearch`, `WebFetch`, `TodoWrite` as needed ## D. Subagent Spawning When the workflow needs to spawn a subagent: - Use `Task(subagent_type="generalPurpose", ...)` - The `model` parameter maps to Cursor's model options (e.g., "fast") </cursor_skill_adapter> <objective> Extract implementation decisions that downstream agents need — researcher and planner will use CONTEXT.md to know what to investigate and what choices are locked. **How it works:** 1. Load prior context (PROJECT.md, REQUIREMENTS.md, STATE.md, prior CONTEXT.md files) 2. Scout codebase for reusable assets and patterns 3. Analyze phase — skip gray areas already decided in prior phases 4. Present remaining gray areas — user selects which to discuss 5. Deep-dive each selected area until sat...

Details

Author
friday-ai-codes
Repository
friday-ai-codes/friday-ai
Created
1 months ago
Last Updated
yesterday
Language
Python
License
MIT

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