verification-before-co…
Before telling the user a coding task is done, actually verify it — build, run the relevant tests/linter, and confirm the change does what was asked with no…
When writing code against an external library, framework, SDK, or API, look up its CURRENT documentation with the context7 MCP tools instead of relying on memory. Use whenever you import/call a third-party package or hit an unfamiliar or fast-moving API.
$ npx -y skills add duckbugio/flock --skill library-docs-lookup --agent claude-codeHow it fires
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/library-docs-lookupContext preview
The summary Claude sees to decide when to auto-load this skill.
When writing code against an external library, framework, SDK, or API, look up its CURRENT documentation with the context7 MCP tools instead of relying on memory. Use whenever you import/call a third-party package or hit an unfamiliar or fast-moving API.
name: library-docs-lookup description: When writing code against an external library, framework, SDK, or API, look up its CURRENT documentation with the context7 MCP tools instead of relying on memory. Use whenever you import/call a third-party package or hit an unfamiliar or fast-moving API.
Training data goes stale: library APIs, method signatures, config keys, and best practices change between versions. Guessing them is a top source of subtly-wrong code. When you touch an external library/framework/SDK/API, get the CURRENT docs.
The `context7` MCP server is available. Use its tools:
1. **`resolve-library-id`** — resolve the library name (e.g. "tauri", "centrifuge-go", "react-query") to its context7 id. 2. **`get-library-docs`** — fetch the up-to-date docs for that id, scoped to the topic/symbol you need (the specific hook, method, or config option).
Pull the version the project actually depends on — check `go.mod` / `package.json` / `Cargo.toml` / `requirements.txt` — not "latest", when they differ.
Prefer one focused docs lookup over a wrong guess you then have to debug.
Run a Claude Code AI dev team on your server and drive it from chat. Describe a feature in Telegram, VK or LO; the team plans it, builds it on a branch, tests it, reviews it, and opens a PR — each chat in its own isolated workspace.
Before telling the user a coding task is done, actually verify it — build, run the relevant tests/linter, and confirm the change does what was asked with no…