ast-grep
ast-grep is an AST-aware code search and rewrite tool supporting 25 languages, matching code by structure rather than text. Use it to find or refactor patterns like function signatures, method calls, type casts, or import styles; switch to plain grep when searching string contents, comments, or filenames. This skill provides a Python wrapper with offline validation and binary auto-resolution to simplify pattern writing and execution.
git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent /tmp/ast-grep && cp -r /tmp/ast-grep/packages/shared-skills/skills/ast-grep ~/.claude/skills/ast-grepSKILL.md
# ast-grep
`sg` (also installed as `ast-grep`) is an **AST-aware search and rewrite tool** across 25 languages. It treats your pattern as code, parses it the same way it parses your project, and matches structurally. It is the right tool whenever your question depends on **code shape** rather than text bytes.
This skill ships a Python wrapper at `scripts/ast_grep_helper.py` and platform install scripts at `install.sh` (POSIX) and `install.ps1` (Windows). The helper adds offline pattern validation, the two-pass write trick, and binary auto-resolution. Use it as your default entry point.
---
## When to use this skill
Use it whenever the user's question is about **code structure**, not bytes:
- "Find every function that takes a `Request` parameter."
- "Rewrite every `console.log(x)` to `logger.info(x)`."
- "Strip every `as any` cast."
- "Replace `require(...)` with `import` across the repo."
- "Find empty catch blocks."
- "Migrate `Optional[X]` to `X | None`."
- "Apply this codemod across these 200 files."
- "Run our YAML lint rules and surface violations."
Switch to plain `grep` / `rg` when the question is text-shaped (string literal contents, comments, license headers, file names, cross-language regex). When in doubt, ask: "does the answer depend on the language's syntax tree, or just on the file's bytes?" If the former, ast-grep. If the latter, grep.
---
## Three things the agent must internalize
### 1. ast-grep is NOT regex
The wildcards are `$VAR` (one AST node) and `$$$` (zero or more nodes). Regex syntax fails silently:
| You wrote | What ast-grep saw | What you wanted |
|---|---|---|
| `foo\|bar` | bitwise-or of `foo` and `bar` | run two separate searches |
| `.*foo` | not parseable | `$$$ foo` (if `$$$` is a list of nodes) or use `rg` |
| `\w+` | not parseable | `$VAR` to capture any identifier |
| `[a-z]` | character class, not parseable | switch to `rg` |
The full anti-pattern table is in `references/pitfalls.md` §1. The helper's `validate` subcommand catches these mechanically — call it before debugging "no matches" by hand.
### 2. Patterns must be valid code
The pattern itself must parse. `def $FN($$$):` fails because the trailing `:` makes it incomplete; use `def $FN($$$)`. `function $NAME` without params/body fails; use `function $NAME($$$) { $$$ }`. Full table per language in `references/pitfalls.md` §2.
### 3. `--update-all` and `--json` are mutually exclusive (silently)
This is the single biggest gotcha when scripting. `sg run -p P -r R --json --update-all` returns the JSON but **does not mutate files**. To both preview AND apply, run **two passes**:
```bash
sg run -p P -r R --json=compact . # pass 1: see what would change
sg run -p P -r R --update-all . # pass 2: actually apply
```
The helper does this automatically when you call `replace --apply`. Read `references/pitfalls.md` §9.
---
## The helper script — `scripts/ast_grep_helper.py`
A single-file Python 3 stdlib wrapper. Same on every OS. The agent's default entry point.
### `search` — find all matches of a pattern
```bash
python3 scripts/ast_grep_helper.py search 'console.log($MSG)' --lang ts src/
```
Validates the pattern offline first. If the pattern looks like regex (`\w`, `.*`, `|`, etc.) the helper exits with a hint and never calls `sg` — saves a round-trip. Pass `--force` to skip validation.
Flags:
- `--lang ts` (or any of the 25 languages; aliases like `js`, `py`, `rs`, `kt` accepted)
- `--globs '!**/*.test.ts'` (repeatable; prefix `!` to exclude)
- `-C 3` (context lines)
- `--json-out` (raw JSON instead of human format)
### `replace` — rewrite by pattern, dry-run by default
```bash
# Dry-run preview (default — no files mutated)
python3 scripts/ast_grep_helper.py replace 'console.log($MSG)' 'logger.info($MSG)' --lang ts src/
# Actually apply
python3 scripts/ast_grep_helper.py replace 'console.log($MSG)' 'logger.info($MSG)' --lang ts src/ --apply
```
The helper:
1. Validates both `pattern` and `rewrite` for hint-detectable mistakes.
2. Runs pass 1 with `--json=compact` to collect matches and show a preview.
3. If `--apply` is set, runs pass 2 with `--update-all` to mutate files.
### `scan` — run YAML rules
```bash
# Discover sgconfig.yml from cwd and run all rules
python3 scripts/ast_grep_helper.py scan src/
# Run a single rule file
python3 scripts/ast_grep_helper.py scan -r rules/no-console.yml src/
# Apply auto-fixes
python3 scripts/ast_grep_helper.py scan -U src/
# CI-friendly GitHub annotations
python3 scripts/ast_grep_helper.py scan --report-style short src/
```
### `validate` — offline pattern check (no `sg` call)
Useful for CI lints, pre-commit hooks, and quick sanity checks:
```bash
python3 scripts/ast_grep_helper.py validate '\w+' --lang ts
# → exit 2: regex \w not supported. Use $VAR for identifiers.
python3 scripts/ast_grep_helper.py validate 'console.log($MSG)' --lang ts
# → exit 0: pattern looks plausible for ast-grep.
```
### `langs` / `doctor` / `install`
```bash
python3 scripts/ast_grep_helper.py langs # list 25 supported languages and aliases
python3 scripts/ast_grep_helper.py doctor # check ast-grep binary availability
python3 scripts/ast_grep_helper.py install # delegate to install.sh / install.ps1
```
`new` and `test` subcommands proxy directly to `sg new` and `sg test`.
---
## Direct `sg` use (when the helper isn't enough)
The helper is opinionated. For full control, drop to `sg`. The skill ships a CLI cheat sheet in `references/cli.md`. The minimal idioms:
```bash
# Search
sg run -p 'console.log($MSG)' --lang ts src/
# Search with JSON for scripting
sg run -p 'console.log($MSG)' --lang ts --json=compact src/ | jq '.[] | .file'
# Rewrite, dry-run
sg run -p 'console.log($MSG)' -r 'logger.info($MSG)' --lang ts --json=compact src/
# Rewrite, apply
sg run -p 'console.log($MSG)' -r 'logger.info($MSG)' --lang ts --update-all src/
# Pattern from stdin (great for ad-hoc experiments)
echo 'console.log("hi")' | sg run -p 'consoleAutomates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.
MUST USE when asked to find, read, list, search, inspect, fetch, export, or reconstruct coding-agent sessions across Codex, Claude Code/Desktop, OpenCode, OMO/Senpi/pi, oh-my-pi (omp), gajae-code (gjc), OpenClaw, Factory Droid, Amp, Gemini/Kimi/Qwen CLIs, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Aside browser-agent sessions, or unknown local agent logs. Covers transcripts, session IDs, rollout JSONL, state SQLite, Claude projects/pre-compact histories, OpenCode messages/parts, child/subagent linkage, cwd/model/time/token filters, archives, and cost clues. Expands fuzzy recall into parallel query lanes and first probes known stores so absent platforms are skipped cheaply. Triggers: coding agent sessions, Codex/Claude/OpenCode/OMO/Senpi/pi/oh-my-pi/omp/gajae-code/gjc/OpenClaw/Droid/Amp/Kodu/Cursor/Aider/Aside sessions, transcript search, session history, session ID, read transcript, token usage, subagent sessions, what did I do yesterday, did we already do this.
Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
Store a dag definition once and re-run it in one or two lines, instead of pasting the full definition JSON into every eval cell. MUST USE whenever the user wants to save a DAG for reuse, run a previously saved/named DAG, schedule the same graph repeatedly (nightly/weekly audits, recurring multi-agent pipelines), or asks where to put a dag definition file. Triggers: dag library, save this dag, reuse a dag, run the saved dag, stored dag definition, recurring dag, nightly dag, dag 정의 저장, 저장된 dag 실행, dag 반복 실행, DAG 만들어두고 여러 번.
Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'playwright', 'flaky test', 'fails intermittently', 'passes in isolation', 'only fails in CI'.