atcoder-client
Interface with AtCoder for Japanese competitive programming contests
npx skills add a5c-ai/babysitter --skill atcoder-client --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AtCoder Client Skill ## Purpose Interface with AtCoder platform for accessing Japanese competitive programming contests, problems, and submissions. ## Capabilities - Fetch contest problems with translations - Submit solutions and track results - Access AtCoder Problems difficulty ratings - Virtual contest participation - Retrieve user submission history - Access editorial content ## Target Processes - atcoder-contest - progress-tracking - skill-gap-analysis ## Integration Uses AtCoder web interface and AtCoder Problems API for difficulty ratings and problem metadata. ## Input Schema ```json { "type": "object", "properties": { "action": { "type": "string", "enum": ["getContestProblems", "getProblem", "getSubmissions", "getDifficulty", "getUserStats"] }, "contestId": { "type": "string" }, "problemId": { "type": "string" }, "username": { "type": "string" } }, "required": ["action"] } ``` ## Output Schema ```json { "type": "object", "properties": { "success": { "type": "boolean" }, "data": { "type": "object" }, "error": { "type": "string" } }, "required": ["success"] } ``` ## Usage Example ```javascript { "action": "getContestProblems", "contestId": "abc300" } ```
- Purpose
- Capabilities
- Target Processes
- Integration
- Input Schema
- Output Schema
- Usage Example
What does the atcoder-client skill do?
Interface with AtCoder for Japanese competitive programming contests
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill atcoder-client --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.