skills/advisor-update-writer/SKILL.md
Write advisor, mentor, lab-meeting, or collaborator updates. Use for weekly updates, progress memos, decision requests, blocker summaries, and next actions.
npx skillsauth add a-green-hand-jack/ml-research-skills advisor-update-writerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Write concise research updates that help an advisor, mentor, collaborator, or lab audience make decisions.
Use this skill when:
Do not use this skill for a full experiment report. Use experiment-report-writer when the main artifact is a detailed technical report. Use this skill when the main artifact is a decision-oriented communication.
Pair this skill with:
research-project-memory to recover current status, decisions, claims, evidence, risks, and actionsexperiment-report-writer when detailed experiment evidence needs a source reportfigure-results-review when plots or tables will be shown to an advisorresult-diagnosis when negative or ambiguous results need a decisionpaper-positioning-planner when the update asks for paper-story or target-venue feedbackpaper-evidence-board when writing and experiment gaps need a synchronized action listwork-timeline-planner when the update needs retrospective timeline evidence<installed-skill-dir>/
├── SKILL.md
└── references/
├── decision-framing.md
├── memory-writeback.md
└── update-template.md
references/decision-framing.md and references/update-template.md before drafting a saved or high-stakes update.references/memory-writeback.md when the update creates decisions, actions, or durable feedback that should persist.Choose the mode:
weekly: progress since last update, current blockers, next week plandecision: options, evidence, recommendation, explicit askmeeting: agenda, discussion points, decisions needed, notes after meetingemail: concise message with context, status, ask, and attachmentslab: broader context, key result, what the audience should rememberIdentify:
If saving and no path is given, use:
docs/updates/advisor_update_YYYY-MM-DD.md
Prefer project memory when available, then primary files.
Look for:
memory/current-status.mdmemory/decision-log.mdmemory/claim-board.mdmemory/evidence-board.mdmemory/risk-board.mdmemory/action-board.mdExtract:
Read references/decision-framing.md.
For each decision, produce:
If there is no decision needed, frame the update around progress, risks, and next actions.
Read references/update-template.md.
Default structure:
For email, make the first paragraph enough to answer "what do you need from me?"
For meeting notes, include both agenda and post-meeting decisions if the meeting has already happened.
Before finalizing:
Read references/memory-writeback.md when memory exists.
Update decisions, actions, risks, and status after the advisor responds or after meeting notes are finalized.
testing
Bootstrap project-local ml-research-skills. Use from global installs when creating a new ML research project, enabling this collection in an existing ML research repo, or deciding whether to install the full bundle locally. Route to project-init for new projects; do not handle paper or experiment work directly.
development
Route project operations tasks — git, memory, bootstrap, remote, workspace, code review, timeline, ops — to the correct skill. Use when the task involves commits, pushes, worktrees, project memory, enabling project-local skills, SSH/server coordination, sidecar runners, or audits. Do not solve the ops task directly.
testing
Route ML/AI paper writing tasks to the correct skill — contract planning, prose drafting, section writing, consistency editing, review simulation, rebuttal, submission, or citation work. Use when the task involves writing, revising, reviewing, or submitting a paper instead of guessing between paper-writing-assistant, paper-writing-contract-planner, paper-reviewer-simulator, auto-paper-improvement-loop, or citation skills. Do not draft prose directly.
data-ai
Project-local router for ML research skill selection. Use inside an initialized ML research project, or while maintaining this skill repo, when the user describes an ML research/paper/experiment/discovery/ops/release workflow and may not know the skill; route to a domain router or high-signal leaf. Do not use for generic non-ML projects.