code-intelligence skill
Navigates and refactors code by selecting between LSP, exact-text, and semantic search tools based on the specific task requirements.
- GitHubスター
- 49
- ファイル
- 4
- 最終コミット
- 2026年11月10日
- ライセンス
- Apache-2.0
- 許可されたツール
- —
code-intelligence skillは何をしますか
code-intelligenceはAgent Skillsです。 Navigates and refactors code by selecting between LSP, exact-text, and semantic search tools based on the specific task requirements.
skillのSKILL.mdから生成された要約。
code-intelligence skill について
Navigating and refactoring codebases across any language is the primary function of this skill. It provides developers with a structured way to choose between different search and navigation methods based on the specific requirements of a coding task. Instead of relying on a single method, an agent uses this skill to decide whether to employ a Language Server Protocol (LSP) for symbol relationships, ripgrep (rg) for exact text matches, or semantic search for conceptual discovery.
When an agent needs to perform complex operations like renaming symbols or finding call hierarchies, it uses the LSP by anchoring calls to specific file positions. If the language server is unavailable or fails to return results after a cold-start retry, the skill manages a degradation gate to transition to text-based searching. It ensures that any tool substitutions are clearly disclosed to the user, including the intended tool, the actual tool used, and the impact on confidence or completeness.
エージェントができること
- 1Perform safe symbol renamingAsk the agent to rename a function across a workspace using language-specific semantics.
- 2Verify language server responsivenessDetermine if a language server is actually working when symbol lookups return no results.
skill の SKILL.md から作成されています。すべてのユースケースは、その引用と照合されています。
code-intelligence skillのインストール方法
各コマンドはskillフォルダをクライアントのskillsディレクトリにコピーします。読み込むには、クライアントを再起動するか新しいセッションを開始してください。プラグインにcode-intelligence skillをインストールする
/plugin marketplace add antonbabenko/agent-plugins /plugin install code-intelligence@antonbabenko
Claude Codeにcode-intelligence skillをインストールする
~/.claude/skills/code-intelligence/SKILL.md
$ npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence ~/.claude/skills/code-intelligenceClaude Code (project)にcode-intelligence skillをインストールする
.claude/skills/code-intelligence/SKILL.md
$ npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence .claude/skills/code-intelligenceCodexにcode-intelligence skillをインストールする
~/.agents/skills/code-intelligence/SKILL.md
$ npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence ~/.agents/skills/code-intelligenceGemini CLIにcode-intelligence skillをインストールする
~/.gemini/skills/code-intelligence/SKILL.md
$ npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence ~/.gemini/skills/code-intelligenceClaude.aiにcode-intelligence skillをインストールする
npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence code-intelligence && zip -r code-intelligence.zip code-intelligence # claude.ai → Customize → Skills → + → Create skill → Upload a skill → code-intelligence.zip
SKILL.md
GitHubで表示Code Intelligence
Pick the search tool by task, not by habit. Generic and language-agnostic;
domain skills extend it with server capability matrices and ecosystem
prerequisites - for example the terraform-skill plugin (same marketplace)
owns the terraform-ls capability matrix and Terraform setup. It is
model-triggered guidance, not enforcement.
Tool Precedence
| Goal | Use | Tradeoff |
|---|---|---|
| Symbol relationships: definition, references, call sites, rename safety | Language server (LSP) at a position | Needs a running server + indexed workspace |
| Exact text, known name, exhaustive enumeration, config/value files | rg then Read |
No semantic scope; matches strings in comments too |
| Conceptual / fuzzy / "where might this live" / cross-repo discovery | A semantic/neural search tool, if the host provides one | Not exact; never use for counts or completeness claims |
Detail: Precedence Table, When LSP Is Wrong.
Calling the LSP
- DO call at a position (
file:line:character). Anchor the position with a text search for a known occurrence first. - DON'T pass a bare symbol name and expect resolution. A name-only call that returns empty is a usage defect, not server failure.
- DO Read the returned locations for source text; LSP returns locations and symbols, not the lines.
- DO retry once on a cold start: the first call after launch may return empty while the server indexes.
- DO prefer the server's own operation when it advertises it: use
rename/prepareRenamefor renames and call hierarchy for callers - they carry language-specific semantics a manual pass misses. - DON'T report an unsupported operation as a finding. When the server lacks
one, redirect:
findReferences(then filter to call sites) instead of call hierarchy; enumerate references then hand-edit instead of a rename provider.
Detail: Position Anchoring, Unsupported Operations.
Degradation Gate
Two distinct cases:
- No LSP at all (host exposes no language-server tool, or the server fails to start): that IS unavailability. Disclose it on the first line (see below) and use text search. The gate does not apply - there is nothing to gate.
- LSP callable but a position-anchored call returns empty: do NOT conclude
"unavailable" yet. Pass ALL three:
documentSymbolon an in-scope file returns symbols -> server responsive (responsiveness only, NOT proof of complete reference coverage).- The failing call was position-anchored (not symbol-name-only).
- That anchored call still returned empty after a cold-start retry.
Only after the three-part case passes is a disclosed text fallback warranted.
Detail: Degradation Gate.
Disclose Substitutions
State any tool substitution OR omission on the FIRST line of the response, not in a later summary (post-hoc accounting is a rule violation):
Intended: <tool>. Actual: <tool>. Reason: <why>. Impact: <completeness/confidence>.
Detail: Disclosure Format.
Do Not Invent a Missing Tool
Before claiming a tool (e.g. rg) is shimmed, aliased, or absent, prove it:
type -a <tool>, ls -l the resolved path, <tool> --version shows the
expected banner. An unproven "tool is missing" claim followed by a fallback is
a verification failure, not a sanctioned substitution.
If genuinely absent or aliased: prefer the LSP for semantic tasks; for exact
text use the host-approved text search; git grep / grep only as an
explicitly disclosed last resort, never the default substitute.
Detail: Anti-Phantom-Shim Proof.
このスキルのファイル
4code-intelligence skillに関する質問
Claude Codeにcode-intelligence skillをインストールするには
npx degit antonbabenko/agent-plugins/plugins/code-intelligence/skills/code-intelligence ~/.claude/skills/code-intelligenceを実行してください。Claude Codeは~/.claude/skills(すべてのプロジェクト)または.claude/skills(単一プロジェクト)からskillsを読み込み、説明がタスクに一致する場合にskillを使用します。
code-intelligence skillはどのクライアントで使用できますか
Agent Skills形式を読み込むすべてのクライアントで使用できます: Claude Code、Codex、Gemini CLI、claude.ai(ZIPとしてアップロード)。skill内のスクリプトは、クライアントがコード実行を許可した場合にのみ実行されます。
When should I use a Language Server (LSP) instead of text search?
Use LSP for symbol relationships such as definitions, references, call sites, and safe renames, provided a running server and indexed workspace are available.
How should I handle a situation where an LSP call returns no results?
Do not immediately conclude the tool is unavailable. Verify if the server is responsive using documentSymbol, ensure the call was position-anchored, and retry once to account for cold starts.
What is the required format for disclosing tool substitutions?
Substitutions must be stated on the first line of the response using the format: Intended: <tool>. Actual: <tool>. Reason: <why>. Impact: <completeness/confidence>.