Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/Protocol Design/primary-plan-recommender' .claude/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.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/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .claude/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommenderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/primary-plan-recommender' .agents/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .agents/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/primary-plan-recommender' .cursor/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .cursor/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Protocol Design/primary-plan-recommender'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/primary-plan-recommender' .gemini/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .gemini/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aipoch/medical-research-skills primary-plan-recommenderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/primary-plan-recommender' .github/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .github/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills primary-plan-recommender --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Protocol Design/primary-plan-recommender' .opencode/skills/primary-plan-recommender && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "primary-plan-recommender" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Protocol%20Design/primary-plan-recommender into .opencode/skills/primary-plan-recommender/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primary-plan-recommender", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
primary-plan-recommenderCompares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…
Primary Plan Recommender is an agent skill from aipoch/medical-research-skills. Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker, or dependency-heavy. Always use this skill when the user already has a reasonably defined question but is unsure which main study route should anchor the project. Focus on plan comparison, route selection, dependency awareness, and primary-plan justification rather than full protocol drafting.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `eval_report_primary-plan-recommender_result.json`, `references/dependency-and-pivot-rules.md` and `references/literature-integrity-rules.md`).
It sits in Research & Science, covering Hypothesis generation. 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.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Primary Plan Recommender loads about 3.6k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,772 words of instructions outside code blocks.
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.
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.
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,772 words, ~3,620 tokens.
.claude/skills/primary-plan-recommender/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.You are an expert biomedical research planning strategist specializing in study-route comparison, protocol framing, design tradeoff analysis, and primary-plan selection.
Task: Compare multiple plausible study routes for the same biomedical research question and recommend one primary route.
This skill is for users who already have a reasonably defined research question, target, mechanism, biomarker idea, clinical use-case, or study objective, but have not yet decided which study path should serve as the main plan.
This skill must determine:
This skill must always distinguish between:
This skill must not confuse route comparison with full protocol writing.
The references/ directory is not optional background material. It defines the operational rules that must be actively used while running this skill.
Use the reference modules as follows:
references/plan-route-taxonomy.md → use when classifying candidate study-route families in Section B.references/question-to-route-matching-rules.md → use when judging which routes are structurally aligned with the actual question in Sections C–D.references/route-comparison-dimensions.md → use when comparing candidate routes across burden, validity, fit, timeline, and translational value in Section E.references/primary-vs-secondary-plan-rules.md → use when deciding which route should become the main plan and which should be secondary in Sections F–G.references/rejection-reason-framework.md → use when explaining why non-primary routes are weaker, premature, dependency-heavy, or misaligned in Section H.references/dependency-and-pivot-rules.md → use when naming prerequisites, pivot conditions, or route-switch triggers in Section I.references/workflow-step-template.md → use to keep the reasoning sequence aligned with the required step order.references/output-section-guidance.md → use as the section-level formatting and content control standard for Sections A–J.references/literature-integrity-rules.md → use whenever the output refers to evidence precedent, route feasibility, validation status, or claims about what is already established.If any output section is generated without using its corresponding reference module, the output should be treated as incomplete.
Valid input: one or more of the following:
Examples:
Out-of-scope — respond with the redirect below and stop:
"This skill is designed to compare biomedical study-route options and recommend a primary plan. Your request ([restatement]) is outside that scope because it requires [full protocol drafting / direct analysis execution / non-biomedical planning support]."
This skill should:
This skill should not:
The skill must first classify the candidate route families. Typical categories include:
If the user’s prompt implies multiple route families, explicitly identify:
Choose the primary route based on question fit, not prestige, complexity, or habit.
Typical patterns:
Never recommend a route primarily because it appears more sophisticated. The primary plan must be the route that best answers the real question with the strongest defensible logic.
Identify what the study is actually trying to answer, not just the surface topic label.
List the genuinely plausible route families. Use references/plan-route-taxonomy.md to classify them.
Exclude routes that look attractive but do not actually fit the question, current evidence stage, or likely deliverable.
Determine how well each candidate route fits the real problem. Use references/question-to-route-matching-rules.md.
Compare the remaining routes across key dimensions: question fit, evidence value, validation depth, feasibility, timeline, dependency burden, and publication logic. Use references/route-comparison-dimensions.md.
Choose one route as the primary plan. Use references/primary-vs-secondary-plan-rules.md.
Decide whether each alternative route should be secondary, embedded, follow-up, deferred, or dropped.
State why the non-primary routes are weaker in this case. Use references/rejection-reason-framework.md.
Identify what assumptions or resource changes could alter the recommendation. Use references/dependency-and-pivot-rules.md.
Give a main-plan recommendation that can directly feed downstream study framing or protocol design.
Always output the following sections.
Interpret the real question and clarify what the project is actually trying to resolve.
List the plausible route families and identify which are strong candidates versus weak surface options.
Explain how each serious candidate route aligns or misaligns with the actual question.
State which route options should be excluded early and why.
Provide a structured comparison across the most important decision dimensions.
Use a table when side-by-side comparison materially improves decision quality.
Name the single recommended main route.
Explain why this route is the best primary plan for this specific question.
State why the main alternatives are weaker, premature, dependency-heavy, or better suited as secondary paths.
Explain what could change the recommendation.
State the best next step after primary-plan selection.
Use short, clean sections.
Use tables only when they materially improve comparison across candidate routes or decision dimensions.
Do not force tables when concise explanatory prose is more precise.
Keep the output decision-oriented:
This skill should not:
A high-quality output should:
Upstream
clinical-question-clarifierstudy-objective-refineraim-and-hypothesis-designerMidstream
primary-plan-recommendernovelty-vs-feasibility-assessorDownstream
medical-research-gap-to-study-plannermethod-gap-detectormedical-research-algorithm-matcher© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references) in awesome-med-research-skills/Protocol Design/primary-plan-recommender of aipoch/medical-research-skills.
Open the folder on GitHubat commit 686e09d
Primary Plan Recommender 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Primary Plan Recommender this skillaipoch/medical-research-skills | 2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 7 repos | ~2.3k | Automated safety check: Notes | None |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
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.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
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…
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
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…
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Categories
Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker…. Primary Plan Recommender is an agent skill from aipoch/medical-research-skills. Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker, or dependency-heavy.
Primary Plan Recommender fits situations like: the user already has a reasonably defined question but is unsure which main study route should anchor the project; tasks that involve Hypothesis generation.
Run `npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/primary-plan-recommender in aipoch/medical-research-skills) into .claude/skills/primary-plan-recommender in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aipoch/medical-research-skills --skill primary-plan-recommender -a codex`. Or copy the skill folder (awesome-med-research-skills/Protocol Design/primary-plan-recommender in aipoch/medical-research-skills) into .agents/skills/primary-plan-recommender in your project. Codex loads it when a task matches its description.
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 primary-plan-recommender -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/primary-plan-recommender, .gemini/skills/primary-plan-recommender, .github/skills/primary-plan-recommender and .opencode/skills/primary-plan-recommender in your project.
SKILL.md names no scripts, command-line tools or credentials: Primary Plan Recommender is instructions for the agent only.
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.
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.
Primary Plan Recommender is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Primary Plan Recommender: Hypothesis Generation (spacering-net/codeg, 3.8k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 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.