Agent skill

Answer Workspace Questions

by makifbaysal in makifbaysal/tasktrooper

A skill your agent uses 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…

Apache-2.0Auto-check passed

Install Answer Workspace Questions

skills CLI
$ npx skills add makifbaysal/tasktrooper --skill answer-workspace-questions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install makifbaysal/tasktrooper answer-workspace-questions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/makifbaysal/tasktrooper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/catalog/agents/product-manager/skills/answer-workspace-questions .claude/skills/answer-workspace-questions && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
answer-workspace-questions
GitHub stars
112
Token cost
~835 tokens
SKILL.md length
454 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses 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…

  • Works in 5 steps: Call the matching read tool FIRST. → Prefer get_board_summary for "status/how… → Answer conversationally with actual… → …
  • The stakeholder asks a factual
  • SKILL.md covers Overview, The read tools, Rules and Worked Example, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Answer Workspace Questions is an agent skill from makifbaysal/tasktrooper. 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

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Local-first agent platform: board + role agents + agent CLI runs (Claude Code, Cursor, Antigravity, OpenCode) or local and API models (Ollama, LM Studio), all on your own Mac. The licence is Apache-2.0.

When your agent uses it

  • The stakeholder asks a factual
  • Status question about the workspace - call the matching read tool and answer conversationally
  • Without creating tasks
  • Asking for approval

Example prompts

  • “/answer-workspace-questions”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Call the matching read tool FIRST.
  2. Prefer get_board_summary for "status/how are we doing" over listing every task — it returns the total and counts grouped by column, type…
  3. Answer conversationally with actual numbers/names — e.g. "We have 2 projects right now: Alpha and Beta."
  4. Translate counts into an outcome update, don't just recite them: what's in progress, what's waiting (backlog/todo), what's blocked or in…
  5. Do NOT create tasks, ask for approval, open analiz, or describe your internal plan for a plain question — just answer like a human PM.

What it can do on your machine

Read from SKILL.md and the folder at commit c4496d5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Answer Workspace Questions loads about 835 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 454 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~835

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from makifbaysal/tasktrooper at commit c4496d5, republished under its Apache-2.0 licence (© makifbaysal). 454 words, ~835 tokens.

Download SKILL.mdSave it as .claude/skills/answer-workspace-questions/SKILL.md (or your agent's skills folder).
name
answer-workspace-questions
description
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
category
pm

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

QuestionTool
How many projects / what are theylist_projects
What repositories exist / which project each belongs tolist_repositories
Who is on the team / which role does whatlist_team
What's on the board / a task's statuslist_board_tasks
Overall status / "how are we doing"get_board_summary (aggregated by column/type/priority)
What's next / what's ready to startlist_ready_tasks

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 — it returns the total and counts grouped by column, type and priority in one call. Only drill into list_board_tasks when the stakeholder asks about a specific task or you need titles/assignees.
  3. Answer conversationally with actual numbers/names — e.g. "We have 2 projects right now: Alpha and Beta."
  4. Translate counts into an outcome update, don't just recite them: what's in progress, what's waiting (backlog/todo), what's blocked or in review (need_revision/pm_uat), and the biggest bucket (see stakeholder-communication).
  5. Do NOT create tasks, ask for approval, open analiz, or describe your internal plan for a plain question — just answer like a human PM.
Show full SKILL.md (189 more words)Show less

Worked Example

Stakeholder: "How many repos do we have?" → call list_repositories → "We have 3 repos: backend-api, web, and mobile." Stakeholder: "Who is on the team?" → call list_team → answer from what it returns, e.g. "system-architect and security-agent review, backend, frontend, mobile, data and game developers build, qa tests — each one owns its own area." Stakeholder: "How are we doing?" → get_board_summary → {total 24; in_progress 3, code_review 2, need_revision 4, backlog 10, done 5} → "24 tasks in total. 3 are in active development, 2 are in architecture review. 4 went back for revision — that's where the biggest risk is. 10 are queued and 5 are done." Not a wall of 24 task titles.

Common Mistakes

  • Answering from memory instead of calling the tool.
  • "No active project context" — the read tools never need one.
  • Turning a plain question into an orchestration plan.
  • Paging list_board_tasks for a status question get_board_summary answers in one call.
  • Reporting raw counts with no interpretation or risk callout.

Red Flags

  • You created a task in response to a factual question.
  • You answered a count without calling a read tool.
  • A status update with no mention of the blocked/revision bucket.

© makifbaysal, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in catalog/agents/product-manager/skills/answer-workspace-questions of makifbaysal/tasktrooper.

Open the folder on GitHubat commit c4496d5

Compare with similar skills

Answer Workspace Questions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Answer Workspace Questions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Answer Workspace Questions this skillmakifbaysal/tasktrooper112—~835Automated safety check: PassApache-2.0
Answer Ads Questionsgooseworks-ai/goose-skills1.2k—~3.1kAutomated safety check: PassMIT
Logseq Answer Machinelogseq/logseq45k—~1.2kAutomated safety check: WarnAGPL-3.0
Stakeholder Investor Reportssickn33/agentic-awesome-skills47k1 repos~3.2kAutomated safety check: PassMIT
Answering Research Questionswentorai/Research-Claw858—~4.9kAutomated safety check: PassCustom licence
Stakeholder Mapphuryn/pm-skills27k—~625Automated safety check: PassMIT

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Questions about Answer Workspace Questions

What does Answer Workspace Questions do?

A skill your agent uses 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…. Answer Workspace Questions is an agent skill from makifbaysal/tasktrooper.

When should I use Answer Workspace Questions?

Answer Workspace Questions fits situations like: the stakeholder asks a factual; status question about the workspace - call the matching read tool and answer conversationally; without creating tasks; asking for approval.

How do I install Answer Workspace Questions in Claude Code?

Run `npx skills add makifbaysal/tasktrooper --skill answer-workspace-questions -a claude-code`. Or copy the skill folder (catalog/agents/product-manager/skills/answer-workspace-questions in makifbaysal/tasktrooper) into .claude/skills/answer-workspace-questions in your project. Claude Code loads it when a task matches its description.

How do I install Answer Workspace Questions in Codex?

Run `npx skills add makifbaysal/tasktrooper --skill answer-workspace-questions -a codex`. Or copy the skill folder (catalog/agents/product-manager/skills/answer-workspace-questions in makifbaysal/tasktrooper) into .agents/skills/answer-workspace-questions in your project. Codex loads it when a task matches its description.

Can I use Answer Workspace Questions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add makifbaysal/tasktrooper --skill answer-workspace-questions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/answer-workspace-questions, .gemini/skills/answer-workspace-questions, .github/skills/answer-workspace-questions and .opencode/skills/answer-workspace-questions in your project.

What does Answer Workspace Questions need to run?

SKILL.md names no scripts, command-line tools or credentials: Answer Workspace Questions is instructions for the agent only.

Does Answer Workspace Questions access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Answer Workspace Questions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Answer Workspace Questions use?

Answer Workspace Questions is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Answer Workspace Questions use?

About 835 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Answer Workspace Questions?

Skills that share tags, products or a category with Answer Workspace Questions: Answer Ads Questions (gooseworks-ai/goose-skills, 1.2k stars), Logseq Answer Machine (logseq/logseq, 45k stars), Stakeholder Investor Reports (sickn33/agentic-awesome-skills, 47k stars) and Answering Research Questions (wentorai/Research-Claw, 858 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Answer Workspace Questions?

makifbaysal (a GitHub user) maintains it in makifbaysal/tasktrooper, which has 112 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 10, 2026.

Source: makifbaysal/tasktrooper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.