extract-futureworks
Skill14 starsChanged 10 days agoLicence not identifiedView on GitHub
Future-works analysis skill with two modes. Mode audit: review one manuscript's own future-works / conclusion / limitations section (.tex/.md) — presence, testability, link to a stated limitation, and novelty against the literature — and emit flagged findings for the host agent's plan. Mode mine: extract the stated future works / open problems of a corpus from full text (download via download_pdf.py any-format, parse via extract_text.py --section-scan) and synthesize a corpus future-works table (with fit to the review and a Pareto 80/20 effort-vs-impact ranking) plus a research-opportunity list. Used inside the four auditors (audit) and scopus-researcher (mine). Trigger when an agent reaches its future-works / hypothesis step.
- Reads credentials
In this repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- aider-setupSkill
- deliberationSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-futureworksSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- geolocalisationSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
- aider-setupSkill
- deliberationSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- geolocalisationSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

