gsd-discuss-phase
SolidGather phase context through adaptive questioning before planning.
AI & Automation 6 stars
0 forks Updated yesterday MIT
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Quality Score: 78/100
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Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
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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