gaps
Skill432 starsChanged 11 days agoMITView on GitHub
Finds prompts and segments where no brand leads yet, and suggests what to do.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- ansvisor/ansvisorword for word, first seen Nov 8, 2026
- Jasenpan1987/multi-codetheir own version, first seen Nov 8, 2026
- yuri-xyz/skillstheir own version, first seen Nov 8, 2026
- Consortium-team/project-creatortheir own version, first seen Sep 10, 2026
- anthropics/claude-for-legaltheir own version, first seen May 15, 2026
Other versions5 projects use a version of this.
Word for word · 1
- ansvisor/ansvisor★ 241100% same
Edited · 0
None found.
Wrote their own version · 4
- anthropics/claude-for-legal★ 9.5ksame name
- Consortium-team/project-creator★ 17same name
- yuri-xyz/skills★ 2same name
- Jasenpan1987/multi-code★ 1same 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 repository29 other files it gives its agents.
- analyzeSkill
- answerfirstSkill
- audit-fixSkill
- auditSkill
- beatSkill
- compareSkill
- createSkill
- factsSkill
- faqSkill
- featuresSkill
- getcito-aeo-coachSkill
- getcito-aeo-coach-standaloneSkill
- listingsSkill
- marketsSkill
- new-reportSkill
- opportunitiesSkill
- optimizeSkill
- publishSkill
- qualitySkill
- questionsSkill
- refreshSkill
- reportSkill
- rivalsSkill
- shoppingSkill
- startSkill
- tasksSkill
- translateSkill
- winbackSkill
- wrongclaimSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 42
Don't call a prompt won or lost from one answer: look across its answers and engines.
- Distinctive: line 43
Never make up a volume: write "unknown" where none is known.
- Distinctive: line 44
Never promise the brand will lead after an action.
“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.
Files
No clear leader
The prompts, topics and segments where AI engines don't recommend one brand most of the time: open ground the brand can take first.
When to use
- "Which use cases have no clear winner yet?", "Where is nobody leading?", "Unmet needs."
- To work on one prompt a competitor already wins, the Beat a competitor skill fits better.
What to read
list_topicsandlist_prompts: the brand's topics and tracked prompts.get_prompt_performance: the brand's place on each prompt, per engine.list_ai_answersfor the prompts: which brands each engine recommends.get_competitor_comparison: where competitors lead, to tell an open prompt from a taken one.get_prompt_volumes: how often each prompt is searched, where known.
Steps
- For each prompt, count which brands the engines recommend across its answers.
- A prompt has no clear leader when no brand is recommended in most of its answers. Group these prompts by topic or segment.
- Order them by searches a month where known, then by how close the brand already is.
- For each, suggest one action: a page to write or update, a question to answer, a source to be listed on.
- Offer to add the top ones to Action Center with
create_action; the app asks the person first.
Output
- A table: Prompt or segment, Engines, Brands that appear, The brand's place, Searches a month, Suggested action.
- The three to start with, and why.
Don't
- Don't call a prompt won or lost from one answer: look across its answers and engines.
- Never make up a volume: write "unknown" where none is known.
- Never promise the brand will lead after an action.
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.

