chief-of-staff
Use when the operator asks for a cross-cutting view of everything in flight — daily agenda, weekly review, "what needs me today", or orchestration across the…
Skill by sciknow-io
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sciknow-io-chief-of-staff
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/chief-of-staff
What's inside
- Skill name
chief-of-staff- Description
- Use when the operator asks for a cross-cutting view of everything in flight — daily agenda, weekly review, "what needs me today", or orchestration across the analyst, advisor, scribe, ops, and career skills.
- License
- MIT
- Instructions
- 99 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (11)
- plugin.json · .claude-plugin/
- .python-version
- .standalone-db
- SKILL.md
- chief_of_staff.py
- lib.ts · dashboard/
- page.tsx · dashboard/pages/chief/
- route.ts · dashboard/routes/agenda/
- hub.yaml · dashboard/views/
- pyproject.toml
- skill.yaml
SKILL.md (first lines)
# Chief of Staff — The Capstone A cross-view over your executive AI team: decisions (advisor), communications (scribe), research (analyst), operations (ops), and career moves (career). **Not a task assistant** — an orchestrator with a synoptic view of your priorities across every team member. **Earn it first.** This skill only pays off after you have real mileage with each individual team member. If the underlying namespaces are empty, the agenda is empty. Build the habit with `analyst`, `advisor`, `scribe`, and `ops` individually; graduate to the chief of staff when orchestration — not capability — is your bottleneck. `chief_of_staff.py` is **read-only**: it defines no schema and never writes. It reads whichever team-member namespaces exist in `alh_personal` and degrades gracefully (`available: false`) for skills you haven't installed. ## Prerequisites - TypeDB running with the `alh_personal` database - At least one team-member skill installed with real data ## Daily Agenda ```bash CLI="uv run --project skills/chief-of-staff python skills/chief-of-staff/chief_of_staff.py" $CLI daily-agenda # JSON for the agent $CLI report-agenda # Markdown for the operator ``` What it pulls, per team member: | Section | Source | What surfaces | |---------|--------|---------------| | Operations | `ops-` | open/overdue commitments, upcoming meeting preps, live brief specs | | Decisions | `advsr-` | decisions in framing/debating/deciding, journal reviews past due | | Communications | `scribe-` | pieces in persona-review / operator-review | | Research | `anlst-` | missions running, missions awaiting the three-question gate | | Career | `career-` | opportunity deadlines within 14 days, active projects | **Agent workflow:** run `daily-agenda`, then *sensemake* — don't just relay the JSON. Rank by stakes and dates, name the one or two items that genuinely need the operator today (⏸ OPERATOR CHECKPOINT items from the other skills), and propose which team member to engage for each. ## Weekly Review ```bash $CLI weekly-review # JSON rollup $CLI report-week # Markdown scaffold ``` The agent narrates the week: decisions closed and how they compare with what the journal expected, research delivered vs still gated, pieces shipped, commitments kept and dropped, career movement. Cross-reference the advisor's journal notes and feed durable lessons back into the advisor's context docs. ## Orchestration Patterns The chief of staff routes work; team members do it: - **Decision needs evidence** → open an `analyst` mission with `--decision-context` pointing at the `advsr-decision` id (soft ref). - **Decision made, needs announcing** → open a `scribe` piece whose primer is the advisor's journal note. - **Meeting tomorrow with a stakeholder** → `ops show-stakeholder` then `prep-meeting`; pull any `career` collaborations with that person for context. - **Research delivered** → if it changes a decision, reopen it with the advisor; if it changes a relationship, log it in the ops dossier. One graph, one database: people (`alh-person`) are shared between `career` collaborators and `ops` stakeholder dossiers by design. ## Command Reference | Command | Output | Purpose | |---------|--------|---------| | `daily-agenda` | JSON | Cross-skill items needing attention today | | `weekly-review` | JSON | Wider rollup for the weekly narrative | | `report-agenda` | Markdown | Operator-facing daily agenda | | `report-week` | Markdown | Weekly review scaffold | ### Command Output Pattern `uv run` emits a `VIRTUAL_ENV` warning to stderr. Use `2>/dev/null` when piping output to a JSON parser — never `2>&1`. ## Common Mistakes - **Starting here.** With empty namespaces the agenda is noise. Build mileage with individual team members first. - **Relaying JSON instead of judging.** The value is ranking and routing, not reporting. - **Writing through the chief.** It is read-only by design; create and update entities through the owning skill's CLI so its workflows and audits apply.
From sciknow-io/alhazen-skill-personal-assistant, MIT.
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Signals
- Stars
- 2
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jul 5, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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chief-of-staff skill. Agent Mart. https://agentmart.dev/skills/sciknow-io-chief-of-staff (last updated 2026-10-24)