repo-showcase
Skill1 starsChanged 12 days agoMITView on GitHub
Turn a basic GitHub repository into a publish-ready showcase. Interviews the user (purpose, audience, goal, length, mascot, links), audits secrets and personal data in the files and the whole git history, removes AI co-authorship mentions, audits the file structure, then builds a short, very visual README (custom animated SVG banner, screenshots, live counters) and checks the GitHub rendering before pushing. Use when the user wants a repository to look professional, to highlight their profile, to prepare it for going public, or to check it holds no personal data.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- gtskevin/readme-crafttheir own version, first seen Nov 15, 2026
- LuisSambrano/antigravity-configtheir own version, first seen Nov 8, 2026
- KrishP147/skillstheir own version, first seen Oct 13, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- KrishP147/skills★ 37same name
- LuisSambrano/antigravity-config★ 8same name
- gtskevin/readme-craft★ 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 repository12 other files it gives its agents.
- kit/CLAUDE.mdCLAUDE.md
- apple-designSkill
- geo-seoSkill
- light-researchSkill
- mac-controlSkill
- media-downloadSkill
- promo-codesSkill
- site-designSkill
- skill-forgeSkill
- unslopSkill
- video-transcriptSkill
- web-fetchSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Run python3 $S doctor once per machine: it says what is possible (history rewrite, screenshots, faces, demo).
- Very specific: line 17
Never change a repository's visibility.
- Distinctive: line 19
Never print or store a raw secret: talk about findings with their preview and fingerprint only.
- Distinctive: line 23
Remove every AI co-authorship mention (commits, files, pull requests, releases).
- Very specific: line 26
No hard-coded number that changes often in a visual or the README, unless it is live (badge), synced (counts), or a dated measurement.
- Very specific: line 83
Run python3 $S <command> -h for the options.
“Common” is measured: kept by at least 6 in 10 of the 3 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
repo-showcase
Goal: a visitor understands the project in five seconds, from the visuals alone, and nothing private leaks. Short and visual beats long: if it is long nobody reads it; if it is short and visual, people at least look at the images, and if the images are clear the project is understood at a glance.
Script: S=~/.claude/skills/repo-showcase/scripts/showcase.py (python3 $S <command>, JSON on stdout).
Run python3 $S doctor once per machine: it says what is possible (history rewrite, screenshots, faces, demo).
Hard rules
- Never change a repository's visibility. For a private repository, the last message says: going public is the
user's last step (
readyprints the command for them). - Never print or store a raw secret: talk about findings with their preview and fingerprint only.
- Normal push and
gh repo edit(description, topics, homepage) only after the user validated the preview. - History rewrite and force push: only after an explicit yes, asked separately each time. Never delete or move a file without agreement.
- Remove every AI co-authorship mention (commits, files, pull requests, releases). A project that is about AI keeps its product mentions.
- Commits:
git config user.emailmust be a noreply address; no AI attribution in messages. - No hard-coded number that changes often in a visual or the README, unless it is live (badge), synced
(
counts), or a dated measurement.
Workflow
- Facts (no questions yet):
inventory <repo>andstructure <repo>. If the user gave only a URL,gh repo cloneit into a work folder first. Readhints,project_type,run_hints,style_sources. - Safety first:
security <repo>(files + full history) andattribution <repo>. Report by severity and category, then ask how to handle each category with AskUserQuestion, using the options of references/security-remediation.md. Fix the working tree first. History:fix-plan(fetches the remote and refuses if it holds work the local refs lack; dry run on a temporary mirror, must reportremaining: 0), show the summary, ask, thenfix-apply --confirm(bundle and git directory archive first), ask again, then run the printed--force-with-leasepush (existing remote refs only). A secret that was ever pushed is rotated, rewrite or not. False positive:allow <repo> <fingerprint>. Pull requests and releases:fix-prs <repo>(dry run), then--confirm. - Interview: references/interview.md. Two batches of at most four questions, pre-filled from the inventory; never ask what the facts already answer. Mascot chosen: ask for the image (link or path) and its rights.
- Keywords:
keywords <repo> --save(sources and rules in references/keywords.md;--no-remotefor a repository that must stay offline). Then use WebSearch (2 to 4 queries such as "best open source<domain>tools", "<domain>github") to see the vocabulary in use and what the project relates to, merge, and show a short table (term, where to place it, why) for validation. The validated list feeds the pitch, the headings, the description and the topics (applied at Publish withgh repo edit --add-topic). - Proposals: two or three README directions from references/readme-patterns.md, each with what it highlights, for whom, its length and its visuals; recommend one. The user picks.
- Build:
- Visuals are custom for each repository: brief the
designeragent with the template and constraints of references/visuals.md (one message per visual, palette from the product site viasite-designor from the owner'sstyle_sources). - Screenshots:
shoot <url> --out assets/screenshots(live site, or--serve "<run hint>"for a local app);demofor a short GIF when interaction is the point. Check every capture for personal data. - README: follow the chosen pattern; counters through markers and
counts sync;counts lintmust pass. Offercounts install-actionwhen a count changes often (it counts tracked files, so it also suits very large repositories). - Structure: present the
structurefindings as suggestions (see references/structure.md); apply only the accepted ones, withgit mv.
- Visuals are custom for each repository: brief the
- Verify:
preview <repo>(static checks + renders at 880 and 390 px, light and dark). Openreadme-fold-*.pngand the mobile render with Read. For a flagship repository, add avisual-qaagent. - Publish: show the user the fold render and the list of changes; after validation commit, push, set the
description, topics and homepage with
gh repo edit. Thenready <repo>must exit 0. Offersocial <repo> --source assets/<banner>.svg(uploaded by hand in Settings) and pinning on the profile. Private repository: end with thefinal_stepsentence.
Commands
| Command | Use |
doctor | dependencies and ready_for |
inventory <repo> / structure <repo> | facts, layout audit |
keywords <repo> [--seed T] [--no-remote] [--max-search N] [--save] | sourced keywords, placement, privacy |
security <repo> / attribution <repo> | findings; full redacted report in .git/repo-showcase/ |
allow <repo> <fp>... | accept false positives |
fix-plan / fix-apply --confirm [--push] / fix-prs [--confirm] | history and remote cleanup |
counts sync|lint|badge|install-action <repo> | live numbers |
shoot, demo, preview, social | captures and rendering |
ready <repo> | final gate, prints final_step |
Run python3 $S <command> -h for the options.
Exit codes
| Code | Meaning | Action |
| 0 | OK | Continue. |
| 4 | Findings or failed checks | Handle them with the user, rerun. |
| 5 | Dependency missing | doctor gives the install command; continue without that step if optional. |
| 6 | Safety refusal | Read error (dirty tree, --confirm missing, git < 2.36, refs changed). |
| 7 | GitHub or network | Check gh auth status and the URL. |
| 3 / 2 | Not a repository / bad arguments | Fix the call. |
| 1 | Unexpected error | Repair the script (below). |
Repair
Fix the module in <claude-tools>/skills/repo-showcase/scripts/, then
python3 -m unittest discover -s tests -q in the skill's folder. Two attempts at most, then report the exact
message to the user.
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.

