Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .claude/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .agents/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .cursor/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .gemini/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
GitHub CLI
$ gh skill install AvivK5498/beads-web agentifind
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .github/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "agentifind" agent skill from https://github.com/AvivK5498/beads-web/tree/main/.claude/skills/agentifind into .opencode/skills/agentifind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentifind", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
agentifind
GitHub stars
103
Token cost
~3.2k tokens
SKILL.md length
852 words
Files
23
Skills in repo
4
Repo updated
First seen
Licence
MIT
At a glance
Set up codebase intelligence for AI agents. An agent skill from AvivK5498/beads-web.
Works in 10 steps: Check for existing guide (Staleness… → Detect repo type and install LSP (if… → Run agentifind sync → …
Tasks that involve Infrastructure as code
SKILL.md covers Procedure, Output and Notes
Runs TypeScript scripts from its folder; calls brew, go and npx
What it does
Agentifind is an agent skill from AvivK5498/beads-web. Set up codebase intelligence for AI agents. Runs the agentifind CLI to extract code structure using LSP (pyright/tsserver) with tree-sitter fallback, then synthesizes a CODEBASE.md navigation guide. Run this skill to get a complete codebase map in .claude/ directory.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 29 other files (for example `.github/workflows/release.yml`, `package-lock.json` and `package.json`).
It sits in DevOps & Cloud, covering Infrastructure as code. It works with Terraform. The repository describes itself as: A visual Kanban UI for Beads CLI — built with Next.js + Rust. Real-time sync, epic tracking, Git Ops and multi-project dashboard. The licence is MIT.
When your agent uses it
Tasks that involve Infrastructure as code
Example prompts
“/agentifind”
Requirements
Node.js
Workflow steps
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d76ada4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (TypeScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
brew
go
npx
git
npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, git and npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agentifind loads about 3.2k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 852 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~70
When it runs· the whole SKILL.md, loaded when a task matches
~3.2k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/agentifind/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.
name
agentifind
description
Set up codebase intelligence for AI agents. Runs the agentifind CLI to extract code structure using LSP (pyright/tsserver) with tree-sitter fallback, then synthesizes a CODEBASE.md navigation guide. Run this skill to get a complete codebase map in .claude/ directory.
Agentifind: Codebase Intelligence Setup
This skill sets up codebase intelligence by:
Running agentifind CLI to extract code structure
Detecting dynamic patterns that static analysis can't fully trace
Synthesizing a navigation guide with staleness metadata
Procedure
Step 1: Check for existing guide (Staleness Detection)
If .claude/CODEBASE.md already exists, check if it's stale:
Read the metadata header from CODEBASE.md:
Source-Hash: {sha256 of codebase.json when guide was generated}
Commit: {git commit when generated}
Stats: {file count, function count, class count}
Compare against current state:
Run sha256sum .claude/codebase.json (or equivalent)
Run git rev-parse HEAD
Read current stats from codebase.json
If metadata matches: Guide is fresh. Ask user if they want to regenerate anyway.
If metadata differs or missing: Guide is stale. Proceed with regeneration.
If no CODEBASE.md exists: Proceed with generation.
Step 2: Detect repo type and install LSP (if needed)
Check if this is a Terraform/IaC repository:
bash
# Check for .tf files
find . -name "*.tf" -type f | head -1
If Terraform files are found:
Check if terraform-ls is installed. If not, install it for better parsing accuracy:
bash
# Check if terraform-ls exists
which terraform-ls || echo "NOT_INSTALLED"
If NOT_INSTALLED, install terraform-ls:
bash
# macOS (Homebrew)
brew install hashicorp/tap/terraform-ls
# Or via Go (cross-platform)
go install github.com/hashicorp/terraform-ls@latest
Why terraform-ls matters:
Proper HCL parsing (not regex)
Accurate module resolution
Cross-file reference tracking
Provider schema awareness
If installation fails, agentifind will fall back to regex parsing (still functional but less accurate).
Step 3: Run agentifind sync
Execute the CLI to extract code structure:
bash
npx agentifind@latest sync
Extraction Method:
LSP first (if available): Uses language servers for accurate cross-file resolution
Python: pyright-langserver (install: npm i -g pyright)
Entry point, script, config file, dynamically loaded plugin
Key insight: If something is exported but never called, or imported but never used, static analysis cannot trace it. These are the areas where the call graph is incomplete.
No manual scanning required - the CLI does this automatically by analyzing the call graph structure.
Show full SKILL.md (365 more words)Show less
Step 7: Identify key components
From the data, determine:
Entry points: Files with many importers (check import_graph reverse)
Core modules: High export count, central in import graph
Utilities: Imported by many, import few themselves
Request flow: Trace call_graph from entry to output
Step 8: Write CODEBASE.md
First, check repo_type in codebase.json:
If repo_type is "terraform" → Use the Infrastructure Template below
If repo_type is missing or other → Use the Application Template below
Application Template (default)
Create .claude/CODEBASE.md with this structure:
markdown
# Codebase Guide
<!-- STALENESS METADATA - DO NOT EDIT -->
<!--
Generated: {ISO 8601 timestamp}
Source-Hash: {sha256 of codebase.json}
Commit: {git commit hash}
Stats: {files} files, {functions} functions, {classes} classes
-->
## ⚠️ Usage Instructions
This guide provides STARTING POINTS, not absolute truth.
**Before acting on any location:**
1. Verify the file exists with a quick Read
2. Confirm the symbol/function is still there
3. If something seems wrong, the guide may be stale - regenerate with `/agentifind`
**This guide CANNOT see:**
- Runtime behavior (dynamic imports, plugins, DI)
- Configuration-driven logic
- Database queries and their relationships
- External API integrations
## Quick Reference
| Component | Location |
|-----------|----------|
| {name} | `{path}` → `{symbol}` |
## Architecture
### Module Dependencies
{Key relationships from import_graph - focus on core modules}
### Data Flow
{Trace from call_graph if clear pattern exists}
## Analysis Gaps (Potential Dynamic Patterns)
{If analysis_gaps has items, list them here grouped by type}
### Uncalled Exports
{List from analysis_gaps.uncalled_exports - these are likely entry points, API handlers, or dynamically invoked}
| Symbol | File | Reason |
|--------|------|--------|
| {name} | `{file}:{line}` | {reason} |
### Orphan Modules
{List from analysis_gaps.orphan_modules - these are likely entry points or dynamically loaded}
| File | Reason |
|------|--------|
| `{file}` | {reason} |
**What this means:**
- Call graph is incomplete for these symbols/files
- They may be invoked via plugins, signals, decorators, CLI, or configuration
- Always trace execution manually when working in these areas
- Don't assume the call graph shows all callers
{If no gaps found, write: "No analysis gaps detected. Call graph appears complete."}
## Conventions
{Infer from naming patterns, file organization, directory structure}
## Impact Map
| If you change... | Also update... |
|------------------|----------------|
| `{high-dependency file}` | {N} dependent files |
## Known Issues
{From validation.linting/formatting/types if present, otherwise omit section}
Infrastructure Template (for Terraform/IaC repos)
When repo_type is "terraform", create .claude/CODEBASE.md with this structure:
markdown
# Infrastructure Guide
<!-- STALENESS METADATA - DO NOT EDIT -->
<!--
Generated: {ISO 8601 timestamp}
Source-Hash: {sha256 of codebase.json}
Commit: {git commit hash}
Stats: {files} files, {resources} resources, {modules} modules
-->
## ⚠️ Usage Instructions
This guide provides STARTING POINTS for infrastructure navigation.
**Before making changes:**
1. Verify the resource/module exists
2. Check the blast radius (what depends on this?)
3. Review variable dependencies
4. Consider state implications
**This guide CANNOT see:**
- Remote state data
- Dynamic values from data sources
- Provider-specific behaviors
- Secrets in tfvars files
## Infrastructure Overview
| Provider | Resources | Modules |
|----------|-----------|---------|
{For each provider in stats.providers, count resources}
## Module Structure
{List from modules array, show source and dependencies}
Analysis gaps detected (count of uncalled_exports, orphan_modules)
Any validation issues found
Guide staleness metadata recorded
For Terraform/IaC repos, report:
Files analyzed (from stats.files)
Resources extracted (from stats.resources)
Modules detected (from stats.modules)
Providers used (from stats.providers)
High-risk resources (count from blast_radius with severity "high")
Variables defined vs used
Guide staleness metadata recorded
Step 10: Offer to update agent instructions
Check if CLAUDE.md or AGENTS.md exists in the project root.
Ask the user:
"Would you like me to add an instruction to your {CLAUDE.md/AGENTS.md} file so the agent automatically uses the CODEBASE.md for navigation?"
If user accepts:
Append this section to the file (or create AGENTS.md if neither exists):
markdown
## Codebase Navigation
Before exploring the codebase, read `.claude/CODEBASE.md` for architecture overview, key files, and conventions. This file is auto-generated by agentifind and provides:
- Quick reference to key components
- Module dependencies and data flow
- Dynamic patterns that static analysis can't trace
- Coding conventions
- Impact map for changes
**Important:** The guide provides starting points. Always verify locations before making changes.
If both CLAUDE.md and AGENTS.md exist, update CLAUDE.md (takes precedence).
If user declines:
Respond with:
"No problem! If you change your mind, add this to your CLAUDE.md or AGENTS.md file:"
markdown
## Codebase Navigation
Before exploring the codebase, read `.claude/CODEBASE.md` for architecture overview, key files, and conventions.
Agentifind next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
A skill your agent uses when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift…
Set up codebase intelligence for AI agents. An agent skill from AvivK5498/beads-web. Agentifind is an agent skill from AvivK5498/beads-web. Set up codebase intelligence for AI agents.
When should I use Agentifind?
Agentifind fits situations like: tasks that involve Infrastructure as code.
How do I install Agentifind in Claude Code?
Run `npx skills add AvivK5498/beads-web --skill agentifind -a claude-code`. Or copy the skill folder (.claude/skills/agentifind in AvivK5498/beads-web) into .claude/skills/agentifind in your project. Claude Code loads it when a task matches its description.
How do I install Agentifind in Codex?
Run `npx skills add AvivK5498/beads-web --skill agentifind -a codex`. Or copy the skill folder (.claude/skills/agentifind in AvivK5498/beads-web) into .agents/skills/agentifind in your project. Codex loads it when a task matches its description.
Can I use Agentifind in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AvivK5498/beads-web --skill agentifind -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentifind, .gemini/skills/agentifind, .github/skills/agentifind and .opencode/skills/agentifind in your project.
What does Agentifind need to run?
Going by SKILL.md and its folder, Agentifind needs TypeScript for the scripts in its folder and the command-line tools its instructions call (brew, go, npx, git and npm). Our summary lists: Node.js.
Does Agentifind access the network?
SKILL.md contains no URLs. Its commands use npx, git and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Agentifind safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Agentifind use?
Agentifind is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agentifind use?
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agentifind?
Skills that share tags, products or a category with Agentifind: Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Terraform Skill (antonbabenko/terraform-skill, 2.4k stars), Review Docs (hashicorp/terraform-provider-aws, 11k stars) and Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentifind?
AvivK5498 (a GitHub user) maintains it in AvivK5498/beads-web, which has 103 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on May 19, 2026.
Source: AvivK5498/beads-web on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.