weekly-digest
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Research, score, and publish a weekly industry digest on any topic. Casts a wide net via web search (20+ candidates), verifies sources for AI-generated slop, scores each item on five parameters (Novelty, Relevance, Slopiness, Technical depth, Feasibility), selects the top items, and generates both markdown files and a Tufte-style HTML report. Use this skill whenever the user says "/weekly-digest", "run the weekly digest", "industry digest", "what's new in [topic]", "weekly roundup", "news digest on [topic]", "research what happened this week in [topic]", or any request to create a curated, scored summary of recent developments in a field. Also use when the user wants to monitor a topic area with quality filtering — the slopiness scoring is the key differentiator from a simple news search.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- reatlat/fullstory-claude-plugintheir own version, first seen Oct 30, 2026
- aryaminus/socials-assistanttheir own version, first seen Aug 23, 2026
- glebis/claude-skillsword for word, first seen Jul 1, 2026
- chengkj99/kj-skillstheir own version, first seen Jun 26, 2026
- aiflaredev/aiflaretheir own version, first seen May 16, 2026
- composio-community/support-skillstheir own version, first seen Apr 10, 2026
Other versions6 projects use a version of this.
Word for word · 1
- glebis/claude-skills★ 410100% same
Edited · 0
None found.
Wrote their own version · 5
- reatlat/fullstory-claude-plugin★ 36same name
- composio-community/support-skills★ 18same name
- chengkj99/kj-skills★ 14same name
- aiflaredev/aiflare★ 0same name
- aryaminus/socials-assistant★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository99 other files it gives its agents.
- automation-advisor/CLAUDE.mdCLAUDE.md
- agency-docs-updaterSkill
- agency-meetup-publishSkill
- agency-socialsSkill
- agent-cliSkill
- app-releaseSkill
- automation-advisorSkill
- balancedSkill
- brand-agencySkill
- browser-mateSkill
- browsing-historySkill
- chrome-historySkill
- coaching-session-summarizerSkill
- codexSkill
- cognitive-toolkitSkill
- context-builderSkill
- cull-release-checkSkill
- cull-release-prepareSkill
- cull-release-publishSkill
- cull-release-recoverSkill
- cull-releaseSkill
- cull-release-verifySkill
- cullSkill
- daydreamSkill
- decision-toolkitSkill
- deep-researchSkill
- design-tokensSkill
- doctorgSkill
- ecosystemSkill
- elevenlabs-ttsSkill
- elimination-researchSkill
- fathomSkill
- feature-factorySkill
- firecrawl-researchSkill
- github-gistSkill
- gmailSkill
- google-image-searchSkill
- gpt-image-2Skill
- granolaSkill
- gwsSkill
- health-dataSkill
- i18n-studioSkill
- init-tauri-appSkill
- init-xcode-appSkill
- insight-extractorSkill
- jtbdSkill
- lab-retroSkill
- learning-vaultSkill
- linearSkill
- llm-cliSkill
- local-modelsSkill
- meeting-prepSkill
- meeting-processorSkill
- metaSkill
- name-auditionSkill
- nano-bananaSkill
- nielsen-heuristicsSkill
- pdf-generationSkill
- peer-agent-collaborationSkill
- presentation-generatorSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
17 rules. 0 are common, 11 are distinctive, and 6 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
11
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “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.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.