Agent skill · Documentation

rulesync-feature-research

Maps rulesync feature implementations to upstream coding-agent documentation. Use when evaluating rulesync issues, comparing any coding-agent client with rulesync source capability surfaces, checking support, or planning a client map.

dyoshikawa1,265★ · +16/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add dyoshikawa/rulesync --skill rulesync-feature-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 28
SKILL.md size: 7 KB
Bundled scripts: none
Path: .rulesync/skills/rulesync-feature-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,285 · +20 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Rulesync Feature Research ## What Build a reproducible map between a coding-agent client, an upstream feature surface, and the local rulesync implementation. | Request target | Read | | ------------------------- | --------------------------------------------------------------------- | | `antigravity` | `references/antigravity.md` | | `augmentcode` | `references/augmentcode.md` | | `claudecode` |

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About this skill
What does the rulesync-feature-research skill do?

Maps rulesync feature implementations to upstream coding-agent documentation. Use when evaluating rulesync issues, comparing any coding-agent client with rulesync source capability surfaces, checking support, or planning a client map.

How do I install it?

Run `npx skills add dyoshikawa/rulesync --skill rulesync-feature-research --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 dyoshikawa/rulesync, a repository with 1,285 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.

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