answer-workspace-questions

Solid

Use when the stakeholder asks a factual or status question about the workspace - call the matching read tool and answer conversationally, without creating tasks or asking for approval

AI & Automation 91 stars 13 forks Updated today Apache-2.0

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Quality Score: 87/100

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Skill Content

# Answer Workspace Questions ## Overview A factual question deserves a factual answer, not a plan. The failure mode is treating "how many projects do we have?" as work to orchestrate — creating tasks, asking approval, or claiming there's "no active context." Just call the read tool and answer. **Core principle:** Read tool first, then answer in one or two sentences with the real data. ## The read tools | Question | Tool | |----------|------| | How many projects / what are they | `list_projects` | | What repositories exist / which project each belongs to | `list_repositories` | | Who is on the team / which role does what | `list_team` | | What's on the board / a task's status | `list_board_tasks` | | Overall status / "how are we doing" | `get_board_summary` (aggregated by column/type/priority) | These read tools are **always available and never need an active repository** — never answer "no active project/repo context." Call the tool and use the real data. ## Rules 1. Call the matching read tool FIRST. 2. Prefer `get_board_summary` for "status/how are we doing" over listing every task. 3. Answer conversationally with actual numbers/names — e.g. "We have 2 projects right now: Alpha and Beta." 4. Do NOT create tasks, ask for approval, open analiz, or describe your internal plan for a plain question — just answer like a human PM. ## Worked Example Stakeholder: "How many repos do we have?" → call `list_repositories` → "We have 3 repos: backend-api, web, and mobile." Stak...

Details

Author
makifbaysal
Repository
makifbaysal/tasktrooper
Created
1 weeks ago
Last Updated
today
Language
Go
License
Apache-2.0

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