profile
Skill0 starsChanged 22 days agoGPL-3.0View on GitHub
Builds a chess player's profile from their chess.com or lichess games - player type and style, openings, tilt, the clock, fun facts and a Stockfish review of blunders and missed wins - as an HTML report, then answers questions about those games. Use when someone wants their chess analysed or asks about a chess.com or lichess account, username, rating history, openings, blunders, tilt or chess style, in any language (for example "разбери мой шахматный профиль", "how do I play the Sicilian on lichess").
29 other projects use a version of this.
Adopted by
Most recently taken up by
- nockawa/NockMontheir own version, first seen Nov 8, 2026
- galiprandi/job-seekertheir own version, first seen Nov 5, 2026
- cismontane-harris2642/signal-prospecting-kittheir own version, first seen Nov 1, 2026
- YahyaLendani/opus-tuner-claude-skilltheir own version, first seen Nov 1, 2026
- DataWithBaraa/claude-code-data-engineering-skillstheir own version, first seen Nov 1, 2026
- julienamorgan/signal-prospecting-kittheir own version, first seen Oct 25, 2026
Used with
Projects with it also use apply, coverage and 5 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
proficientlyjobsSkillapply
Fill out a job application on Greenhouse, Lever, or Workday
Also in 3 projects that use this
PydanticSkillcoverage
Fetch coverage diff from Codecov for the current branch or a specific PR. Shows uncovered lines, patch coverage, and overall coverage change.
Also in 3 projects that use this
dragonflydbSkillbenchmark
Benchmark Dragonfly (and compare against Valkey/Redis) on local or remote cloud instances, then produce a performance + memory report with charts and a raw-data appendix. Use this whenever the user runs /benchmark, or asks to benchmark / load-test / measure throughput, QPS, latency, or memory efficiency of Dragonfly or another Redis-compatible server, to compare Dragonfly vs Valkey or Redis, or to generate a benchmark report. Trigger it even when the user just describes the goal ("see how fast Dragonfly is on this box", "compare memory per key vs Valkey") without saying the word "benchmark".
Also in 3 projects that use this
AnthropicSkillstatus
Case status summary by audience — client-facing (plain language), internal (for the professor), or court-ready (formal caption format per local rules). Same facts, different framing and depth. Use when a student needs to update the client, brief the professor, or prepare a court status report.
Also in 3 projects that use this
Microsoft AzureSkilldocs
Also in 3 projects that use this
VercelSkillsetup
Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".
Also in 3 projects that use this
Other versions29 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 29
- ccusage/ccusage★ 19ksame name
- ryoppippi/ccusage★ 19ksame name
- FalkorDB/FalkorDB★ 10ksame name
- pytorch/executorch★ 5.2ksame name
- verl-project/verl-omni★ 1.5ksame name
- nockawa/Typhon★ 253same name
- galiprandi/job-seeker★ 120same name
- the-void-ia/void-box★ 88same name
- DataWithBaraa/claude-code-data-engineering-skills★ 84same name
- Flemma-Dev/flemma.nvim★ 57same name
19 more not listed
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 repositoryOne other file it gives its agents.
- CLAUDE.mdCLAUDE.md
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 1 is distinctive, and 6 are very specific to this project.
0
Common
Most of the 23 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — 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 23 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.
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.
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