vexor-cli

Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

31,392 stars

Best use case

vexor-cli is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "vexor-cli" skill to help with this workflow task. Context: Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/vexor-cli/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/vexor-cli/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/vexor-cli/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How vexor-cli Compares

Feature / Agentvexor-cliStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Vexor CLI Skill

## When to Use
- You need to locate files by intent rather than exact filename or text match.
- The repository is large enough that manual browsing or naive grep is too slow or ambiguous.
- You want semantic discovery of where something is implemented, loaded, defined, or documented.

## Goal

Find files by intent (what they do), not exact text.

## Use It Like This

- Use `vexor` first for intent-based file discovery.
- If `vexor` is missing, follow references/install-vexor.md.

## Command

```bash
vexor "<QUERY>" [--path <ROOT>] [--mode <MODE>] [--ext .py,.md] [--exclude-pattern <PATTERN>] [--top 5] [--format rich|porcelain|porcelain-z]
```

## Common Flags

- `--path/-p`: root directory (default: current dir)
- `--mode/-m`: indexing/search strategy
- `--ext/-e`: limit file extensions (e.g., `.py,.md`)
- `--exclude-pattern`: exclude paths by gitignore-style pattern (repeatable; `.js` → `**/*.js`)
- `--top/-k`: number of results
- `--include-hidden`: include dotfiles
- `--no-respect-gitignore`: include ignored files
- `--no-recursive`: only the top directory
- `--format`: `rich` (default) or `porcelain`/`porcelain-z` for scripts
- `--no-cache`: in-memory only, do not read/write index cache

## Modes (pick the cheapest that works)

- `auto`: routes by file type (default)
- `name`: filename-only (fastest)
- `head`: first lines only (fast)
- `brief`: keyword summary (good for PRDs)
- `code`: code-aware chunking for `.py/.js/.ts` (best default for codebases)
- `outline`: Markdown headings/sections (best for docs)
- `full`: chunk full file contents (slowest, highest recall)

## Troubleshooting

- Need ignored or hidden files: add `--include-hidden` and/or `--no-respect-gitignore`.
- Scriptable output: use `--format porcelain` (TSV) or `--format porcelain-z` (NUL-delimited).
- Get detailed help: `vexor search --help`.
- Config issues: `vexor doctor` or `vexor config --show` diagnoses API, cache, and connectivity (tell the user to set up).

## Examples

```bash
# Find CLI entrypoints / commands
vexor search "typer app commands" --top 5
```

```bash
# Search docs by headings/sections
vexor search "user authentication flow" --path docs --mode outline --ext .md --format porcelain
```

```bash
# Locate config loading/validation logic
vexor search "config loader" --path . --mode code --ext .py
```

```bash
# Exclude tests and JavaScript files
vexor search "config loader" --path . --exclude-pattern tests/** --exclude-pattern .js
```

## Tips

- First time search will index files (may take a minute). Subsequent searches are fast. Use longer timeouts if needed.
- Results return similarity ranking, exact file location, line numbers, and matching snippet preview.
- Combine `--ext` with `--exclude-pattern` to focus on a subset (exclude rules apply on top).

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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