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Serena semantic search

Skill knokmki612/skills/skills/serena-semantic-search

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Install
npx -y skills add knokmki612/skills --skill serena-semantic-search

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Trigger at the moment you are about to grep an identifier (a function/class/method/variable name) to find its definition, references, implementations, or call sites — or about to read a whole source file just to map its structure. Use Serena's language-server-backed read tools for that instead; also for compiler/LSP diagnostics. Needs the Serena MCP server. Literal-text search (strings, error messages, config keys), line-range reads, and file listing stay on the existing grep/sed/Read tools.

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SKILL.md

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Serena as a Semantic Grep

Why

When the serena MCP server is available, its language-server-backed read tools beat plain grep/rg + reading whole files for understanding code:

  • More accuratefind_symbol / find_referencing_symbols resolve symbols through the language server, so they match definitions and references by meaning, not by text. They skip comments, strings, and same-named-but-unrelated tokens that trip up regex.
  • More token-efficientget_symbols_overview returns a file's symbol skeleton instead of its full text; find_symbol can return just a signature or a single method body. You read the relevant slice, not the whole file.

In this setup Serena is configured read-only (all write/edit tools are disabled at the config level). Treat it as a query engine: reach for it to read and locate code, never to change it.

Serena's read tools split into two classes

Serena's read-only tools partition cleanly by whether grep/sed/ed/Read can already do the job. Only the first class is the reason to use Serena.

Class A — semantic, no text-tool equivalent → use Serena. A language server resolves these; regex/line tools structurally cannot reproduce them.

IntentToolWhy grep/sed/awk can't
"Where is Foo / Foo.bar defined?"find_symbol (add include_body for the source)grep matches the text Foo, not the resolved symbol (misses re-exports, picks up comments/strings/namesakes).
"Jump to the definition behind this call."find_declarationNeeds import/scope resolution.
"What implements this interface / overrides this method?"find_implementationsType-hierarchy knowledge.
"Who calls / references Foo.bar?"find_referencing_symbolsgrep finds the name string, not true references.
"Outline this file's classes & methods."get_symbols_overviewNo structural outline from text.
"What does the compiler/linter flag here?"get_diagnostics_for_file / get_diagnostics_for_symbolPure LSP — impossible from text.

Class B — text-equivalent → stay on your native search/read/list/find tools, don't route through Serena. These duplicate tools you already have; going through the MCP server only adds a round-trip with zero semantic gain. The native column lists representative tools, not a closed set.

TaskSerena tool (avoid)Use instead (e.g.)
Regex / substring search across filessearch_for_patternGrep (ripgrep) / git grep
Read a file or a line rangeread_fileRead / sed -n 'A,Bp' / cat
List a directorylist_dirls / Glob
Find files by name/globfind_filefind / fd / Glob

Beyond Class B, some reads have no Serena tool at all — they were never a conflict, so they always stay native: field/column extraction and read-time aggregation (awk / cut), and structured-format reads (jq for JSON, yq for YAML). Serena cannot parse these semantically, so don't reach for it here. (ed is a line editor, not a read tool — for reading use Read / sed / cat.)

Rule of thumb: reach for Serena only for symbol resolution, reference/impl graphs, and diagnostics (Class A). For text search, line-range reads, listing, and file-finding, the existing grep/sed/awk/native path wins — those are exactly the operations that do not conflict, so keep them where they are.

Prerequisites

Serena's symbolic tools need an activated project with a ready language server:

  1. Make sure the project is activated (activate_project / check_onboarding_performed). The mcp.json here launches Serena with --project ., so the working directory is usually already active.
  2. Symbolic tools only work for LSP-supported languages (Python, TS/JS, Go, Rust, Java, C/C++, and ~40 more). For an unsupported language or non-code file, fall back to search_for_pattern / Grep.
  3. The first symbolic call on a project can be slow while the language server indexes. A "symbol not found" right after activation often means indexing isn't finished, not that the symbol is absent — retry, or cross-check with search_for_pattern.

Do NOT edit through Serena

All Serena write tools (replace_symbol_body, insert_after_symbol, create_text_file, execute_shell_command, memory writes, …) are intentionally disabled in this environment. Make every code change with the host agent's own Edit / Write / Bash. If a Serena edit tool ever appears callable, do not use it — it is redundant with native editing and adds round-trips.

Reference

For the full read-tool catalog, language-support details, fallback patterns, and troubleshooting (stale index, monorepos, generated code), see references/tool-reference.md.

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