Blogger Distiller
otter1101/blogger-distiller
A skill your agent uses when the user wants to analyze or distill a blogger/account on Xiaohongshu or Douyin, benchmark a target creator, or diagnose their own content strategy.
Analyze research hotspots for a disease or topic and recommend representative literature.
Install Research Hotspot Analysis
$ npx skills add aipoch/medical-research-skills --skill research-hotspot-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills research-hotspot-analysis --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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .claude/skills/research-hotspot-analysis && 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 "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .claude/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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/scientific-skills/Evidence%20Insight/research-hotspot-analysisType 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 research-hotspot-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills research-hotspot-analysis --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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .agents/skills/research-hotspot-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .agents/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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 research-hotspot-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills research-hotspot-analysis --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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .cursor/skills/research-hotspot-analysis && 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 "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .cursor/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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 'scientific-skills/Evidence Insight/research-hotspot-analysis'--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 research-hotspot-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills research-hotspot-analysis --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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .gemini/skills/research-hotspot-analysis && 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 "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .gemini/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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 research-hotspot-analysisInstalls 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 research-hotspot-analysis -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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .github/skills/research-hotspot-analysis && 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 "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .github/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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 research-hotspot-analysis -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 research-hotspot-analysis --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/'scientific-skills/Evidence Insight/research-hotspot-analysis' .opencode/skills/research-hotspot-analysis && 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 "research-hotspot-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/research-hotspot-analysis into .opencode/skills/research-hotspot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-hotspot-analysis", 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.
Facts
- Skill name
research-hotspot-analysis- GitHub stars
- 1.9k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 817 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 578
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze research hotspots for a disease or topic and recommend representative literature.
- Works in 4 steps: Hotspot Overview Table → Hotspot Detail Analysis → Research Gap Identification → …
- Users need to identify trending directions
- SKILL.md covers Output Format, When to Use, When Not to Use and Required Inputs, plus 9 more sections
- Runs Python scripts from its folder
What it does
Research Hotspot Analysis is an agent skill from aipoch/medical-research-skills. Analyze research hotspots for a disease or topic and recommend representative literature. Use when users need to identify trending directions, topic clusters, or generate hotspot review reports. Input is a disease name or research topic; output is a structured hotspot analysis report and representative literature list.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_research-hotspot-analysis_result.json` and `references/prompt_templates.md`).
It sits in Writing & Content, covering Content strategy. 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
- Users need to identify trending directions
- Generate hotspot review reports
Example prompts
- “/research-hotspot-analysis”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Research Hotspot Analysis loads about 1.8k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 817 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 817 words, ~1,803 tokens.
Download SKILL.mdSave it as
.claude/skills/research-hotspot-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- research-hotspot-analysis
- description
- Analyze research hotspots for a disease or topic and recommend representative literature. Use when users need to identify trending directions, topic clusters, or generate hotspot review reports. Input is a disease name or research topic; output is a structured hotspot analysis report and representative literature list.
- license
- MIT
- author
- AIPOCH
Output Format
Output must strictly follow this structured report format to ensure users receive directly readable decision-ready content rather than a simple text description.
1. Hotspot Overview Table
Display all identified hotspot topics and their popularity metrics in tabular form.
| Hotspot Topic | Popularity Index | Trend Direction | Representative Papers | Active Years |
|---|---|---|---|---|
| [Topic 1] | ★★★★★ | Rising | 45 papers | 2023-2026 |
| [Topic 2] | ★★★★ | Stable | 28 papers | 2022-2026 |
| [Topic 3] | ★★★ | Declining | 12 papers | 2020-2024 |
- Popularity Index: Composite score based on publication volume, citation frequency, and top-tier journal proportion (max ★★★★★).
- Trend Direction: Recent 3-year publication trend (Rising / Stable / Declining).
- Representative Papers: Number of core papers matching the hotspot topic.
- Active Years: Year range with sustained output for the hotspot.
2. Hotspot Detail Analysis
Each hotspot is expanded independently, including popularity rating, trend description, sub-direction composition, and key papers.
Hotspot 1: [Topic Name]
- Popularity Index: ★★★★★ (Very Hot)
- Trend: Rising publication volume over the past 3 years
- Core Research Directions:
- Sub-direction A (40%)
- Sub-direction B (35%)
- Key Papers:
| Paper | Journal | Year | Citations | Evidence Level |
|---|---|---|---|---|
| [Title] | Nature | 2025 | 230 | High |
| [Title] | Cell Rep | 2024 | 98 | Medium |
| [Title] | Front Immunol | 2024 | 15 | Low |
- Evidence Level: High (top-tier/highly cited), Medium (mainstream/moderate citations), Low (lower-tier/few citations).
Hotspot 2: [Topic Name]
...
3. Research Gap Identification
Analyze under-explored areas in current literature.
| Research Gap | Potential Value | Feasibility | Reason |
|---|---|---|---|
| [Gap 1 - underexplored direction] | High | Medium | Few than 10 papers, but clear clinical demand |
| [Gap 2] | Medium | High | Mature tools available, but not yet applied in this field |
- Potential Value: High / Medium / Low, based on unmet clinical or basic research needs.
- Feasibility: High / Medium / Low, based on technical maturity, research barriers, and execution difficulty.
4. Recommended Entry Directions
Based on the preceding analysis, provide concrete actionable research entry suggestions.
| Priority | Recommended Direction | Reason | Expected Output |
|---|---|---|---|
| 1 | [Direction A] | High popularity + existing gap + good feasibility | 1 review / 1 experimental design |
| 2 | [Direction B] | Emerging hotspot + low competition | 1-2 research papers |
| 3 | [Direction C] | Niche but high clinical value | Case series / methodology paper |
Research Hotspot Analysis
When to Use
- The user provides a disease name, target, technical roadmap, or research topic, and wants to quickly see current research hotspots.
- The user needs to cluster recent literature by keywords and topics to find directions worth deeper exploration.
- The user wants a Markdown hotspot analysis report with representative literature for topic selection or review writing.
When Not to Use
- Do not use this skill when the user only needs single-paper retrieval or a simple reference list.
- If there is no clear disease, topic, or search scope, do not start clustering immediately — first ask the user to clarify topic boundaries.
- If the environment cannot access the scripts or retrieval data this skill depends on, do not fabricate hotspot results.
Required Inputs
| Field | Required | Format/Source | Example | If Missing |
|---|---|---|---|---|
topic | Yes | Text | lung cancer immunotherapy | Stop and request topic |
time_range | No | Time range | last 5 years | Default to recent literature |
focus | No | Text | mechanism, clinical translation | Default to comprehensive hotspot output |
Show full SKILL.md (328 more words)Show less
Workflow
- Use
search_pubmedfromscripts/analysis_ops.pyto search relevant literature and obtain PMIDs and basic metadata. - Run
word_frequencyon the returnedmedline_textsto count high-frequency keywords or MeSH terms. - Combine with hotspot prompts in
references/prompt_templates.mdto cluster high-frequency keywords into 3-6 hotspot topics. - Use
match_keywordsto map representative literature to each topic, avoiding mismatches between topics and evidence. - For each topic, call
sort_by_jif_and_selectto choose representative literature, then usefetchPMCArticleDetailsorfetchPubmedArticleDetailsto supplement details. - Output a Markdown report with at least: research overview, hotspot topics, representative keywords per topic, representative literature, and follow-up suggestions.
Output Contract
- Primary output: A Markdown hotspot analysis report.
- Required fields:
topic overview,hotspot topics,supporting papers,next-step suggestions. - Recommend at least 2-3 representative papers per hotspot, with explanation of why the topic qualifies as a hotspot.
- If retrieval coverage is insufficient, must explicitly mark as
PARTIAL.
Failure Handling
- Too few literature search results: First broaden time range or relax keywords, then explain coverage gaps.
- Unstable keyword clustering: Show high-frequency keywords and indicate clustering is candidate-only — do not force conclusions.
- Representative literature lacks usable details: Keep PMID and title, mark as pending.
User Checkpoints
- Before starting a broad search, confirm topic boundaries and time range.
- Before outputting the final hotspot report, if cluster topics are clearly ambiguous, send candidate topics to user for confirmation.
Tools
fetchPMCArticleDetails: Get article details.fetchPubmedArticleDetails: Get PubMed details.
Scripts
scripts/analysis_ops.py: Contains helper functions for PubMed search, frequency analysis, keyword matching, and result formatting.
References
references/prompt_templates.md: Contains the system prompts for LLM analysis.
Input Validation
This skill accepts requests that match the documented purpose of research-hotspot-analysis and include enough context to complete the workflow safely.
Quick Validation
- Check that
scripts/analysis_ops.pyexists and can perform at least the three core steps: search, word frequency, and matching. - Check that the final report contains hotspot topics with corresponding representative literature, not just a keyword list.
- Check that each hotspot topic has clear evidence sources to support it.
© 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 4 other files (scripts, references) in scientific-skills/Evidence Insight/research-hotspot-analysis of aipoch/medical-research-skills.
- SKILL.md
- POLISH_CHANGELOG.md
- eval_report_research-hotspot-analysis_result.json
- references/prompt_templates.md
- scripts/analysis_ops.py
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Research Hotspot Analysis 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 |
|---|---|---|---|---|---|---|
| Research Hotspot Analysis this skillaipoch/medical-research-skills | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Blogger Distillerotter1101/blogger-distiller | 701 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Linkedin Content Plannersergebulaev/linkedin-skills | 4.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Blog Post Draftingluongnv89/claude-howto | 42k | — | ~2.1k | Automated safety check: Pass | MIT | |
| WeChat Hot Article AnalysisSpaceZephyr/creator-buddy | 1.6k | — | ~847 | Automated safety check: Pass | None | |
| Brand Voice Content Creatordavila7/claude-code-templates | 33k | 3 repos | ~1.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Research Hotspot Analysis
What does Research Hotspot Analysis do?
Analyze research hotspots for a disease or topic and recommend representative literature. Research Hotspot Analysis is an agent skill from aipoch/medical-research-skills. Analyze research hotspots for a disease or topic and recommend representative literature.
When should I use Research Hotspot Analysis?
Research Hotspot Analysis fits situations like: users need to identify trending directions; generate hotspot review reports.
How do I install Research Hotspot Analysis in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill research-hotspot-analysis -a claude-code`. Or copy the skill folder (scientific-skills/Evidence Insight/research-hotspot-analysis in aipoch/medical-research-skills) into .claude/skills/research-hotspot-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Research Hotspot Analysis in Codex?
Run `npx skills add aipoch/medical-research-skills --skill research-hotspot-analysis -a codex`. Or copy the skill folder (scientific-skills/Evidence Insight/research-hotspot-analysis in aipoch/medical-research-skills) into .agents/skills/research-hotspot-analysis in your project. Codex loads it when a task matches its description.
Can I use Research Hotspot Analysis 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 research-hotspot-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-hotspot-analysis, .gemini/skills/research-hotspot-analysis, .github/skills/research-hotspot-analysis and .opencode/skills/research-hotspot-analysis in your project.
What does Research Hotspot Analysis need to run?
Going by SKILL.md and its folder, Research Hotspot Analysis needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Research Hotspot Analysis 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 Research Hotspot Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Research Hotspot Analysis use?
Research Hotspot Analysis 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 Research Hotspot Analysis use?
About 1.8k tokens (SKILL.md is roughly 7.2k 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 464 tokens, read only when the agent opens those files.
What are the alternatives to Research Hotspot Analysis?
Skills that share tags, products or a category with Research Hotspot Analysis: Blogger Distiller (otter1101/blogger-distiller, 701 stars), Linkedin Content Planner (sergebulaev/linkedin-skills, 4.4k stars), Blog Post Drafting (luongnv89/claude-howto, 42k stars) and WeChat Hot Article Analysis (SpaceZephyr/creator-buddy, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Hotspot Analysis?
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.