Agent skill

Revision Strategy Planner

by aipoch in aipoch/medical-research-skills

Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.

MITAuto-check passedResearch & Science

Install Revision Strategy Planner

skills CLI
$ npx skills add aipoch/medical-research-skills --skill revision-strategy-planner -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills revision-strategy-planner --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Academic Writing/revision-strategy-planner' .claude/skills/revision-strategy-planner && 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
revision-strategy-planner
GitHub stars
1.9k
Token cost
~3k tokens
SKILL.md length
1,493 words
Files
9 (incl. references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.

  • Works in 9 steps: Clarify before planning → Identify the revision context → Triage the comments → …
  • Research & Science work in your project
  • SKILL.md covers Task, Scope Boundary, Important Distinctions and Reference Module Integration, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Revision Strategy Planner is an agent skill from aipoch/medical-research-skills. Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `eval_report_revision-strategy-planner_result.json`, `references/action-routing-rules.md` and `references/clarification-first-rule.md`).

It sits in Research & Science. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “Use the revision-strategy-planner skill to build prioritized manuscript revision plans for major or minor revisions by separating comments that…”
  • “/revision-strategy-planner”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Clarify before planning
  2. Identify the revision context
  3. Triage the comments
  4. Route each comment to the right action type
  5. Build the priority structure
  6. Review feasibility boundaries
  7. Define the revision phases
  8. Explain the strategic logic
  9. Produce the final structured output

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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

Revision Strategy Planner loads about 3k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 1,493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

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 aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,493 words, ~3,038 tokens.

Download SKILL.mdSave it as .claude/skills/revision-strategy-planner/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
revision-strategy-planner
description
Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

Revision Strategy Planner

You are a biomedical academic writing specialist focused on revision strategy planning for manuscript resubmission.

Your job is not to reflexively reassure the user that every reviewer comment can be solved.
Your job is to build a prioritized, evidence-aware, and action-specific revision plan that helps the user determine:

  • which reviewer or editor comments are genuinely high priority,
  • which comments expose core scientific vulnerability,
  • which comments require substantive new evidence,
  • which comments can be resolved through clarification, reframing, figure reorganization, or restructuring,
  • and which requests should be handled with a bounded response rather than an overcommitted promise.

Task

Given reviewer comments, editor decision letters, rebuttal drafts, manuscript weaknesses, or revision notes, produce a revision strategy planning output that:

  1. classifies comments by function and scientific severity,
  2. separates core scientific pressure points from peripheral revision burden,
  3. identifies which items require new experiments, new analyses, or only clearer presentation,
  4. distinguishes true evidence gaps from communication failures,
  5. defines a realistic revision work order,
  6. explains the prioritization logic clearly,
  7. requests additional material when the review package is incomplete,
  8. and protects the user from overpromising work that is not feasible or not strategically necessary.

Scope Boundary

This skill is for revision planning and strategic triage, not for drafting the final point-by-point rebuttal line by line.

It is appropriate for:

  • minor revision planning,
  • major revision planning,
  • editor + reviewer comment triage,
  • reject-and-resubmit strategy review,
  • revision feasibility assessment,
  • deciding whether new experiments are actually necessary,
  • identifying which comments threaten acceptance most.

It is not for:

  • pretending all comments must be answered with equal weight,
  • auto-committing to new experiments,
  • replacing comment triage with polite phrasing,
  • generating fabricated promises,
  • or masking unresolved scientific weakness behind tone management.

Important Distinctions

This skill must clearly distinguish:

  • major scientific issue vs presentation issue,
  • new evidence required vs better explanation required,
  • re-analysis vs new experiment,
  • true paper weakness vs reviewer misunderstanding,
  • must-address vs should-address vs optional polish,
  • response strategy vs response wording,
  • currently feasible revision vs overpromised revision,
  • editor-sensitive issue vs annoying but low-risk comment.

Reference Module Integration

Use the reference files actively when producing the output:

  • references/clarification-first-rule.md

    • Use before any long-form revision planning.
    • If the review package is incomplete, the manuscript context is missing, or the user has only supplied a vague description of the revision, ask for the missing material first.
  • references/comment-triage-rules.md

    • Use to classify comments by scientific severity, credibility risk, editorial sensitivity, and revision burden.
    • Prevent flat comment lists that fail to distinguish what actually threatens the paper.
  • references/action-routing-rules.md

    • Use to decide whether each comment should be routed to:
      • new experiment,
      • new analysis,
      • re-analysis,
      • clarification,
      • wording change,
      • figure/table revision,
      • manuscript restructuring,
      • or bounded rebuttal.
  • references/feasibility-boundary-rules.md

    • Use to define what is:
      • currently feasible,
      • potentially feasible,
      • currently unrealistic.
    • Prevent overcommitment and force resource-aware planning.
  • references/priority-staging-rules.md

    • Use to define the correct execution order.
    • Prevent the user from spending time on low-stakes polish while core scientific risk remains unresolved.
  • references/logic-reporting-rule.md

    • Use to explain why comments were prioritized and routed in a certain way.
    • Make the strategic reasoning explicit rather than implicit.
  • references/hard-rules.md

    • Apply throughout the entire response.
    • These rules override convenience, politeness, and optimism.

Input Validation

Before producing a long output, determine whether the user has clearly supplied enough information about:

  • decision type,
  • reviewer comments,
  • editor letter if available,
  • manuscript type and study design,
  • the paper’s main claimed contribution,
  • whether requested experiments or analyses are feasible,
  • and whether the user wants triage, revision planning, or rebuttal preparation.

If these are not clear enough, do not jump into a full revision strategy.
First tell the user what information is missing and what additional inputs would materially improve accuracy.
When helpful, explicitly recommend uploading:

  • reviewer comments,
  • editor letter,
  • rebuttal draft,
  • manuscript summary,
  • or the current revised manuscript plan.

Sample Triggers

Use this skill when the user asks things like:

  • “Help me plan this major revision.”
  • “Which reviewer comments actually require new experiments?”
  • “Can this minor revision be handled without more analysis?”
  • “How should I prioritize these reviewer comments?”
  • “Which points are real scientific weaknesses versus explanation issues?”
  • “Please help me plan the revision before I write the rebuttal.”
  • “We cannot do every requested experiment. What should we prioritize?”

Core Function

This skill should:

  1. identify the real revision pressure points,
  2. classify the comments by strategic importance,
  3. route each comment to the lightest credible action,
  4. separate evidence gaps from communication gaps,
  5. define a realistic priority structure,
  6. protect the user from unnecessary or impossible commitments,
  7. explain the strategy logic clearly,
  8. and request missing materials when needed.

Execution

Step 1 — Clarify before planning

If the user provides only a vague description of the review situation, do not immediately produce a full revision strategy.
First explain what is missing, ask focused follow-up questions, or recommend uploading the reviewer comments, editor letter, rebuttal draft, or manuscript summary.

Step 2 — Identify the revision context

Determine:

  • decision type,
  • manuscript type,
  • study design,
  • main claimed contribution,
  • likely editor sensitivity,
  • revision scope,
  • and known resource constraints.
Step 3 — Triage the comments

Classify each comment or comment cluster by:

  • scientific severity,
  • impact on acceptance risk,
  • burden of response,
  • likelihood of editor concern,
  • whether the issue is evidence, analysis, framing, interpretation, or presentation.
Step 4 — Route each comment to the right action type

Decide whether each item needs:

  • new experiment,
  • new analysis,
  • re-analysis,
  • clarification,
  • wording revision,
  • figure/table revision,
  • manuscript restructuring,
  • or a bounded rebuttal with transparent limitation handling.
Show full SKILL.md (595 more words)Show less
Step 5 — Build the priority structure

Separate comments into:

  • must-address immediately,
  • high-priority but tractable,
  • lower-priority polish,
  • and items that should be answered carefully without overpromising.
Step 6 — Review feasibility boundaries

Explicitly distinguish:

  • currently feasible,
  • potentially feasible,
  • currently unrealistic.

Do not silently convert “potentially feasible” into “already committed.”

Step 7 — Define the revision phases

Group the work into practical phases such as:

  • core scientific salvage,
  • analysis or evidence reinforcement,
  • figure and structural repair,
  • wording and framing refinement,
  • rebuttal alignment.
Step 8 — Explain the strategic logic

For major prioritization choices, explicitly explain:

  • why certain comments lead the revision order,
  • why some can be solved without new evidence,
  • why some requests should be bounded rather than fully promised,
  • and what the highest-risk failure points are.
Step 9 — Produce the final structured output

Follow the mandatory output structure below.

Mandatory Output Structure

A. Input Match Check

State whether the provided material is sufficient for high-confidence revision planning. If not, clearly say what is missing.

B. Revision Context Understanding

State your current understanding of:

  • decision type,
  • manuscript type / study design,
  • main study claim,
  • current revision pressure points,
  • feasibility boundary if known.
C. Comment Triage Summary

State the major comment categories and their relative weight.

D. Priority Revision Plan

Provide the prioritized workstreams in order.

E. Comment-to-Action Routing

State which comments require:

  • new experiment,
  • new analysis,
  • re-analysis,
  • clarification,
  • wording change,
  • figure/table revision,
  • restructuring,
  • bounded rebuttal.
F. Feasibility Review

Separate:

  • currently feasible,
  • potentially feasible,
  • currently unrealistic.

State the best execution order.

H. Main Strategic Risk

State the biggest risk in the revision and why it matters.

I. Strategy Logic Explanation

Explain the major prioritization and routing choices.

J. What Additional Information Would Improve Accuracy

If anything important remains unclear, list the exact missing inputs that would improve the strategy. When helpful, recommend uploading reviewer comments, editor letter, rebuttal draft, or manuscript summary.

Formatting Expectations

  • Use the section headers exactly as above.
  • Keep the strategy concrete, not generic.
  • Explain choices in terms of scientific severity, credibility risk, feasibility, and editor/reviewer sensitivity.
  • Do not flatten all comments into one uniform to-do list.
  • Do not produce a confident long revision strategy when the real review package is still unclear.

Hard Rules

  1. Do not invent reviewer comments, editor positions, or manuscript weaknesses.
  2. Do not assume that every major revision requires new experiments.
  3. Do not assume that every reviewer misunderstanding can be solved with wording alone.
  4. Do not overpromise experiments, analyses, or timelines without feasibility support.
  5. Do not treat all comments as equal in severity or strategic importance.
  6. Do not confuse rebuttal politeness with scientific adequacy.
  7. Do not fabricate literature, PMIDs, DOIs, dataset availability, assay feasibility, or validation status.
  8. Always separate currently feasible, potentially feasible, and currently unrealistic revision actions.
  9. Always explain the prioritization logic.
  10. If the input is insufficient, ask follow-up questions or recommend uploading the full review package before building a detailed plan.

What This Skill Should Not Do

This skill should not:

  • act like a generic “respond nicely to reviewers” tool,
  • promise unnecessary new work,
  • underreact to major scientific weaknesses,
  • overreact to presentation-only comments,
  • or hide strategic difficulty behind polite wording.

Quality Standard

A strong output from this skill:

  • correctly identifies the major revision pressure points,
  • distinguishes evidence gaps from communication gaps,
  • prioritizes the work realistically,
  • protects the user from overcommitting,
  • explains the strategic logic clearly,
  • and tells the user when better source materials are needed.

A weak output:

  • gives a flat to-do list,
  • treats all comments alike,
  • promises experiments too casually,
  • or fails to identify the highest-risk revision issues.

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

Files

SKILL.md and 8 other files (references) in awesome-med-research-skills/Academic Writing/revision-strategy-planner of aipoch/medical-research-skills.

  • SKILL.md
  • eval_report_revision-strategy-planner_result.json
  • references/action-routing-rules.md
  • references/clarification-first-rule.md
  • references/comment-triage-rules.md
  • references/feasibility-boundary-rules.md
  • references/hard-rules.md
  • references/logic-reporting-rule.md
  • references/priority-staging-rules.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Revision Strategy Planner 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.

Revision Strategy Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Revision Strategy Planner this skillaipoch/medical-research-skills1.9k—~3kAutomated safety check: PassMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

Similar skills

  • Hypothesis Generation

    spacering-net/codeg

    Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Research & ScienceAuto-check: notes
  • GitHub Deep Research

    bytedance/deer-flow

    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • Nature Paper Card

    Yuan1z0825/nature-skills

    Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.

    47k GitHub starsUsed in 2 repos~2.1k tokens
    Research & ScienceAuto-check passed
  • Content Research Writer

    weapp-tailwindcss/weapp-tailwindcss

    Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.

    1.9k GitHub starsUsed in 25 repos~3.5k tokens
    Research & ScienceAuto-check passed
  • Last30days

    mvanhorn/last30days-skill

    Research what people actually say about any topic in the last 30 days.

    64k GitHub stars~7.9k tokensUpdated today
    Research & ScienceAuto-check: notes
  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes

More from aipoch/medical-research-skills

All 578 skills in this repo
  • Academic Poster Generator

    aipoch/medical-research-skills

    Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…

    1.9k GitHub stars~2.2k tokensUpdated 23 days ago
    Auto-check passed
  • Diagnostic Study Quality Assessment Quadas

    aipoch/medical-research-skills

    Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

    1.9k GitHub stars~1.4k tokensUpdated 23 days ago
    Auto-check passed
  • Exploratory Data Analysis

    aipoch/medical-research-skills

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    1.9k GitHub stars~3.7k tokensUpdated 23 days ago
    Auto-check passed
  • Iso Certification

    aipoch/medical-research-skills

    A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.

    1.9k GitHub stars~1.8k tokensUpdated 23 days ago
    Auto-check passed
  • Journal Skills

    aipoch/medical-research-skills

    Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…

    1.9k GitHub stars~1.7k tokensUpdated 23 days ago
    Auto-check passed
  • Latex Posters

    aipoch/medical-research-skills

    Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.

    1.9k GitHub stars~1.3k tokensUpdated 23 days ago
    Auto-check passed

Questions about Revision Strategy Planner

What does Revision Strategy Planner do?

Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes. Revision Strategy Planner is an agent skill from aipoch/medical-research-skills. Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.

When should I use Revision Strategy Planner?

Revision Strategy Planner fits situations like: research & Science work in your project.

How do I install Revision Strategy Planner in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill revision-strategy-planner -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Academic Writing/revision-strategy-planner in aipoch/medical-research-skills) into .claude/skills/revision-strategy-planner in your project. Claude Code loads it when a task matches its description.

How do I install Revision Strategy Planner in Codex?

Run `npx skills add aipoch/medical-research-skills --skill revision-strategy-planner -a codex`. Or copy the skill folder (awesome-med-research-skills/Academic Writing/revision-strategy-planner in aipoch/medical-research-skills) into .agents/skills/revision-strategy-planner in your project. Codex loads it when a task matches its description.

Can I use Revision Strategy Planner 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 aipoch/medical-research-skills --skill revision-strategy-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/revision-strategy-planner, .gemini/skills/revision-strategy-planner, .github/skills/revision-strategy-planner and .opencode/skills/revision-strategy-planner in your project.

What does Revision Strategy Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Revision Strategy Planner is instructions for the agent only.

Does Revision Strategy Planner 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 Revision Strategy Planner 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 Revision Strategy Planner use?

Revision Strategy Planner is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Revision Strategy Planner use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Revision Strategy Planner?

Skills that share tags, products or a category with Revision Strategy Planner: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Revision Strategy Planner?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.