Memory Map
majiayu000/claude-skill-registry
A skill your agent uses when installing or configuring memorymap, writing CLAUDE.md session-setup instructions, choosing what to save in memory vs history, managing or pruning history chunks, using…
Generate hierarchical AGENTS.md and ensure paired CLAUDE.md files for codebases.
$ npx skills add AkaraChen/aghub --skill init-deep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AkaraChen/aghub init-deep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/init-deep .claude/skills/init-deep && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .claude/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
$skill-installer install https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deepType 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.
$ npx skills add AkaraChen/aghub --skill init-deep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AkaraChen/aghub init-deep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/init-deep .agents/skills/init-deep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .agents/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
$ npx skills add AkaraChen/aghub --skill init-deep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AkaraChen/aghub init-deep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/init-deep .cursor/skills/init-deep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .cursor/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
$ gemini skills install https://github.com/AkaraChen/aghub.git --path .claude/skills/init-deep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AkaraChen/aghub --skill init-deep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AkaraChen/aghub init-deep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/init-deep .gemini/skills/init-deep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .gemini/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
$ gh skill install AkaraChen/aghub init-deepInstalls 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).
$ npx skills add AkaraChen/aghub --skill init-deep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/init-deep .github/skills/init-deep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .github/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
$ npx skills add AkaraChen/aghub --skill init-deep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AkaraChen/aghub init-deep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AkaraChen/aghub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/init-deep .opencode/skills/init-deep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "init-deep" agent skill from https://github.com/AkaraChen/aghub/tree/main/.claude/skills/init-deep into .opencode/skills/init-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "init-deep", 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.
init-deepGenerate hierarchical AGENTS.md and ensure paired CLAUDE.md files for codebases.
Init Deep is an agent skill from AkaraChen/aghub. Generate hierarchical AGENTS.md and ensure paired CLAUDE.md files for codebases. Creates root AGENTS.md + CLAUDE.md plus complexity-scored subdirectory files. Use when user asks to "generate AGENTS.md files", "create codebase knowledge base", "run /init-deep", or wants comprehensive project documentation. Supports update mode (default) and --create-new flag to regenerate from scratch.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent instruction files. It works with Bash and Model Context Protocol. The repository describes itself as: One hub for every AI coding agent. Unified configuration management for 22+ assistants. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 61a7ee7. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Init Deep loads about 3.6k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 766 words of instructions outside code blocks.
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.
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.
The full file from AkaraChen/aghub at commit 61a7ee7, republished under its MIT licence (© AkaraChen). 766 words, ~3,642 tokens.
.claude/skills/init-deep/SKILL.md (or your agent's skills folder).Generate hierarchical AGENTS.md files. Ensure every AGENTS.md has a paired CLAUDE.md (and vice versa) via symlinks. Root + complexity-scored subdirectories + all monorepo packages.
/init-deep # Update mode: modify existing + create new where warranted
/init-deep --create-new # Read existing → remove all → regenerate from scratch
/init-deep --max-depth=2 # Limit directory depth (default: 3)<critical>
**TodoWrite ALL phases. Mark in_progress → completed in real-time.**
```
TodoWrite([
{ id: "discovery", content: "Fire explore agents + LSP codemap + read existing AGENTS.md and CLAUDE.md", status: "pending", priority: "high" },
{ id: "scoring", content: "Score directories, determine locations + monorepo packages", status: "pending", priority: "high" },
{ id: "generate", content: "Generate AGENTS.md + CLAUDE.md files (root + subdirs)", status: "pending", priority: "high" },
{ id: "review", content: "Deduplicate, validate, trim, ensure file pairs", status: "pending", priority: "medium" }
])
```
</critical>
Mark "discovery" as in_progress.
Don't wait—these run async while main session works.
// Fire all at once, collect results later
task(subagent_type="explore", load_skills=[], description="Explore project structure", run_in_background=true, prompt="Project structure: PREDICT standard patterns for detected language → REPORT deviations only")
task(subagent_type="explore", load_skills=[], description="Find entry points", run_in_background=true, prompt="Entry points: FIND main files → REPORT non-standard organization")
task(subagent_type="explore", load_skills=[], description="Find conventions", run_in_background=true, prompt="Conventions: FIND config files (.eslintrc, pyproject.toml, .editorconfig) → REPORT project-specific rules")
task(subagent_type="explore", load_skills=[], description="Find anti-patterns", run_in_background=true, prompt="Anti-patterns: FIND 'DO NOT', 'NEVER', 'ALWAYS', 'DEPRECATED' comments → LIST forbidden patterns")
task(subagent_type="explore", load_skills=[], description="Explore build/CI", run_in_background=true, prompt="Build/CI: FIND .github/workflows, Makefile → REPORT non-standard patterns")
task(subagent_type="explore", load_skills=[], description="Find test patterns", run_in_background=true, prompt="Test patterns: FIND test configs, test structure → REPORT unique conventions")<dynamic-agents>
**DYNAMIC AGENT SPAWNING**: After bash analysis, spawn ADDITIONAL explore agents based on project scale:
| Factor | Threshold | Additional Agents |
|---|---|---|
| Total files | >100 | +1 per 100 files |
| Total lines | >10k | +1 per 10k lines |
| Directory depth | ≥4 | +2 for deep exploration |
| Large files (>500 lines) | >10 files | +1 for complexity hotspots |
| Monorepo | detected | +1 per package/workspace |
| Multiple languages | >1 | +1 per language |
# Measure project scale first
total_files=$(find . -type f -not -path '*/node_modules/*' -not -path '*/.git/*' | wc -l)
total_lines=$(find . -type f \( -name "*.ts" -o -name "*.py" -o -name "*.go" \) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | tail -1 | awk '{print $1}')
large_files=$(find . -type f \( -name "*.ts" -o -name "*.py" \) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | awk '$1 > 500 {count++} END {print count+0}')
max_depth=$(find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' | awk -F/ '{print NF}' | sort -rn | head -1)Example spawning:
// 500 files, 50k lines, depth 6, 15 large files → spawn 5+5+2+1 = 13 additional agents
task(subagent_type="explore", load_skills=[], description="Analyze large files", run_in_background=true, prompt="Large file analysis: FIND files >500 lines, REPORT complexity hotspots")
task(subagent_type="explore", load_skills=[], description="Explore deep modules", run_in_background=true, prompt="Deep modules at depth 4+: FIND hidden patterns, internal conventions")
task(subagent_type="explore", load_skills=[], description="Find shared utilities", run_in_background=true, prompt="Cross-cutting concerns: FIND shared utilities across directories")
// ... more based on calculation</dynamic-agents>
While background agents run, main session does:
# Directory depth + file counts
find . -type d -not -path '*/\.*' -not -path '*/node_modules/*' -not -path '*/venv/*' -not -path '*/dist/*' -not -path '*/build/*' | awk -F/ '{print NF-1}' | sort -n | uniq -c
# Files per directory (top 30)
find . -type f -not -path '*/\.*' -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -30
# Code concentration by extension
find . -type f \( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.go" -o -name "*.rs" \) -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20
# Existing AGENTS.md / CLAUDE.md
find . -type f \( -name "AGENTS.md" -o -name "CLAUDE.md" \) -not -path '*/node_modules/*' 2>/dev/null
# Monorepo detection (package directories)
find . \( -name "package.json" -o -name "pyproject.toml" -o -name "Cargo.toml" -o -name "go.mod" \) -not -path '*/node_modules/*' -not -path '*/.git/*' | sed 's|/[^/]*$||' | sort | uniqFor each directory where either AGENTS.md or CLAUDE.md exists:
agents_exists = file exists at {dir}/AGENTS.md
claude_exists = file exists at {dir}/CLAUDE.md
If agents_exists AND claude_exists:
Read both files
Merge their contents into EXISTING_AGENTS map for that directory
Else if agents_exists AND NOT claude_exists:
Read AGENTS.md
Create symlink: ln -s AGENTS.md CLAUDE.md (or ln -s CLAUDE.md AGENTS.md if you prefer; standard: ln -s AGENTS.md CLAUDE.md)
Else if claude_exists AND NOT agents_exists:
Read CLAUDE.md
Create symlink: ln -s CLAUDE.md AGENTS.md<critical>
If `--create-new`: Read all existing first (preserve context) → delete all AGENTS.md and CLAUDE.md + their symlinks → regenerate.
</critical>
LspServers() # Check availability
# Entry points (parallel)
LspDocumentSymbols(filePath="src/index.ts")
LspDocumentSymbols(filePath="main.py")
# Key symbols (parallel)
LspWorkspaceSymbols(filePath=".", query="class")
LspWorkspaceSymbols(filePath=".", query="interface")
LspWorkspaceSymbols(filePath=".", query="function")
# Centrality for top exports
LspFindReferences(filePath="...", line=X, character=Y)LSP Fallback: If unavailable, rely on explore agents + AST-grep.
// After main session analysis done, collect all task results
for each task_id: background_output(task_id="...")Merge: bash + LSP + existing + explore findings. Mark "discovery" as completed.
Mark "scoring" as in_progress.
| Factor | Weight | High Threshold | Source |
|---|---|---|---|
| File count | 3x | >20 | bash |
| Subdir count | 2x | >5 | bash |
| Code ratio | 2x | >70% | bash |
| Unique patterns | 1x | Has own config | explore |
| Module boundary | 2x | Has index.ts/init.py | bash |
| Symbol density | 2x | >30 symbols | LSP |
| Export count | 2x | >10 exports | LSP |
| Reference centrality | 3x | >20 refs | LSP |
Every monorepo package directory MUST have an AGENTS.md + CLAUDE.md pair, regardless of score.
Detect packages via:
package.json in subdirectories (Node/Yarn/npm workspaces, pnpm)pyproject.toml with [tool.poetry] or [project]Cargo.toml (Rust workspace member)go.mod (Go module)Add all unique package directories to AGENTS_LOCATIONS with type: "package".
| Score | Action |
|---|---|
| Root (.) | ALWAYS create |
| Monorepo package | ALWAYS create |
| >15 | Create AGENTS.md + CLAUDE.md |
| 8-15 | Create if distinct domain |
| <8 | Skip (parent covers) |
AGENTS_LOCATIONS = [
{ path: ".", type: "root" },
{ path: "packages/core", type: "package", score: null, reason: "monorepo package" },
{ path: "src/hooks", score: 18, reason: "high complexity" },
{ path: "src/api", score: 12, reason: "distinct domain" }
]Mark "scoring" as completed.
Mark "generate" as in_progress.
<critical>
**File Writing Rule**:
- If AGENTS.md already exists at the target path → use `Edit` tool.
- If AGENTS.md does NOT exist → use `Write` tool.
- NEVER use Write to overwrite an existing file. ALWAYS check existence first via `Read` or discovery results.
- After writing AGENTS.md, ensure CLAUDE.md exists in the same directory. If missing, create it as a symlink to AGENTS.md.
- If both files already exist and both are regular files (not symlinks), merge their content mentally and then use `Edit` to update both to the merged content.
</critical>
For every location in AGENTS_LOCATIONS:
ln -s AGENTS.md CLAUDE.mdln -s AGENTS.md CLAUDE.mdmv CLAUDE.md AGENTS.md, then ln -s AGENTS.md CLAUDE.mdEdit to update both to the merged content.Preferred approach: Write AGENTS.md as the canonical file, then ln -s AGENTS.md CLAUDE.md in all cases where no conflict exists.
# PROJECT KNOWLEDGE BASE
**Generated:** {TIMESTAMP}
**Commit:** {SHORT_SHA}
**Branch:** {BRANCH}
## OVERVIEW
{1-2 sentences: what + core stack}
## STRUCTURE{root}/ ├── {dir}/ # {non-obvious purpose only} └── {entry}
## WHERE TO LOOK
| Task | Location | Notes |
|------|----------|-------|
## CODE MAP
{From LSP - skip if unavailable or project <10 files}
| Symbol | Type | Location | Refs | Role |
|--------|------|----------|------|------|
## CONVENTIONS
{ONLY deviations from standard}
## ANTI-PATTERNS (THIS PROJECT)
{Explicitly forbidden here}
## UNIQUE STYLES
{Project-specific}
## COMMANDS{dev/test/build}
## NOTES
{Gotchas}Quality gates: 50-150 lines, no generic advice, no obvious info.
Same structure as root but scoped to the package:
Launch writing tasks for each location:
for loc in AGENTS_LOCATIONS (except root):
task(category="writing", load_skills=[], run_in_background=false, description="Generate AGENTS.md", prompt=`
Generate AGENTS.md for: ${loc.path}
- Type: ${loc.type} (package | subdir)
- Reason: ${loc.reason}
- 30-80 lines max
- NEVER repeat parent content
- Sections: OVERVIEW (1 line), STRUCTURE (if >5 subdirs), WHERE TO LOOK, CONVENTIONS (if different), ANTI-PATTERNS
If type is "package", include the package's role in the monorepo and link to root conventions.
`)After each AGENTS.md is written, run the pairing check to ensure CLAUDE.md exists (create symlink if missing).
Wait for all. Mark "generate" as completed.
Mark "review" as in_progress.
For each generated file:
Mark "review" as completed.
=== init-deep Complete ===
Mode: {update | create-new}
Files:
[OK] ./AGENTS.md (root, {N} lines)
[OK] ./CLAUDE.md → symlinked to ./AGENTS.md
[OK] ./packages/core/AGENTS.md ({N} lines)
[OK] ./packages/core/CLAUDE.md → symlinked to ./AGENTS.md
[OK] ./src/hooks/AGENTS.md ({N} lines)
[OK] ./src/hooks/CLAUDE.md → symlinked to ./AGENTS.md
Dirs Analyzed: {N}
AGENTS.md Created: {N}
CLAUDE.md Created: {N}
Pairs Ensured: {N}
Hierarchy:
./AGENTS.md
├── packages/core/AGENTS.md
└── src/hooks/AGENTS.md© AkaraChen, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/init-deep of AkaraChen/aghub.
Open the folder on GitHubat commit 61a7ee7
Init Deep 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Init Deep this skillAkaraChen/aghub | 272 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Memory Mapmajiayu000/claude-skill-registry | 666 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Env Setupmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.7k | Automated safety check: Notes | MIT | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Agent Setup Health Audittw93/Waza | 7.2k | — | ~5.2k | Automated safety check: Notes | MIT |
majiayu000/claude-skill-registry
A skill your agent uses when installing or configuring memorymap, writing CLAUDE.md session-setup instructions, choosing what to save in memory vs history, managing or pruning history chunks, using…
majiayu000/claude-skill-registry
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地:output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
tw93/Waza
Audits a project's agent configuration, instruction drift, hooks, MCP and AI maintainability, then reports prioritized findings with evidence and next actions.
apify/mcpc
Record or regenerate the mcpc demo GIFs (the README hero docs/images/mcpc-demo.gif and the focused tapes in docs/vhs/) with VHS.
AkaraChen/aghub
Form implementation guidance for the aghub desktop app. An agent skill from AkaraChen/aghub.
Works with
Categories
Generate hierarchical AGENTS.md and ensure paired CLAUDE.md files for codebases. Init Deep is an agent skill from AkaraChen/aghub.md files for codebases.
Init Deep fits situations like: user asks to generate AGENTS.md files; create codebase knowledge base; wants comprehensive project documentation.
Run `npx skills add AkaraChen/aghub --skill init-deep -a claude-code`. Or copy the skill folder (.claude/skills/init-deep in AkaraChen/aghub) into .claude/skills/init-deep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AkaraChen/aghub --skill init-deep -a codex`. Or copy the skill folder (.claude/skills/init-deep in AkaraChen/aghub) into .agents/skills/init-deep in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AkaraChen/aghub --skill init-deep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/init-deep, .gemini/skills/init-deep, .github/skills/init-deep and .opencode/skills/init-deep in your project.
SKILL.md names no scripts, command-line tools or credentials: Init Deep is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Init Deep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Init Deep: Memory Map (majiayu000/claude-skill-registry, 666 stars), Env Setup (majiayu000/claude-skill-registry, 666 stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AkaraChen (a GitHub user) maintains it in AkaraChen/aghub, which has 272 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 5, 2026.
Source: AkaraChen/aghub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.