Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .claude/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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 DemonDamon/AgenticX --skill project-initializer -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .agents/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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 DemonDamon/AgenticX --skill project-initializer -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .cursor/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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 DemonDamon/AgenticX --skill project-initializer -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .gemini/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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.
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 DemonDamon/AgenticX --skill project-initializer -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .github/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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 DemonDamon/AgenticX --skill project-initializer -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "project-initializer" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer into .opencode/skills/project-initializer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "project-initializer", 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
project-initializer
GitHub stars
294
Token cost
~632 tokens
SKILL.md length
273 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0
At a glance
Initializer agent for the project-level harness — turn a spec or issue into featurelist.json, init.sh, verify.yaml, and an initial commit.
Works in 8 steps: Read the spec end-to-end. Use file_read… → Decompose into ≥ 5 deliverables. Each… → Call project_init with the full feature… → …
AI & LLM Engineering work in your project
SKILL.md covers Inputs, Steps and Forbidden
Calls git
What it does
Project Initializer is an agent skill from DemonDamon/AgenticX. Initializer agent for the project-level harness — turn a spec or issue into featurelist.json, init.sh, verify.yaml, and an initial commit.
Its SKILL.md is about 630 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 AI & LLM Engineering. The repository describes itself as: AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers… The licence is Apache-2.0.
When your agent uses it
AI & LLM Engineering work in your project
Example prompts
“/project-initializer”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
1Read the spec end-to-end. Use file_read if the user pointed at a file, otherwise capture the user's message as the source of truth.
2Decompose into ≥ 5 deliverables. Each feature must
3Call project_init with the full feature list. The tool writes feature_list.json, seeds status.json with phase=initialize, and drops…
4Customize init.sh via bash_exec (or file_write with the diff path = .agx/project/init.sh)
5Customize verify.yaml with the project's real test/lint commands. Keep the bootstrap step that runs init.sh.
6Smoke-run with verify_run (no feature_id) to confirm the initial gate is green on a clean checkout.
7Commit the harness files via bash_exec
8Append a closing progress note with progress_append (e.g. "[initialize-done] commit= features=N") and tell the user the project is ready…
What it can do on your machine
Read from SKILL.md and the folder at commit c1af2c7. 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
Shell commands in SKILL.md call:
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, 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
Project Initializer loads about 632 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 273 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~40
When it runs· the whole SKILL.md, loaded when a task matches
~632
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.
Use exactly once per project, when session_mode == feature_loop and .agx/project/ does not yet exist (system prompt will say "Initializer 阶段").
Inputs
A spec markdown, GitHub issue, or natural-language feature description.
The repo root (workspace_dir or first non-default taskspace).
Steps
Read the spec end-to-end. Use file_read if the user pointed at a file, otherwise capture the user's message as the source of truth.
Decompose into ≥ 5 deliverables. Each feature must:
have a stable id (kebab-case, ≤ 32 chars),
be independently mergeable (its commit can land on main without breaking others),
declare 1–3 concrete acceptance_criteria (observable behavior, not implementation steps),
declare depends_on only for hard ordering constraints,
get an integer priority (lower = sooner; reserve 100 for "later").
Call project_init with the full feature list. The tool writes feature_list.json, seeds status.json with phase=initialize, and drops template init.sh + verify.yaml.
Customize init.sh via bash_exec (or file_write with the diff path = .agx/project/init.sh):
install language runtime / package manager dependencies,
apply migrations / generate seed data,
must be idempotent (running twice on the same machine should not break anything).
Customize verify.yaml with the project's real test/lint commands. Keep the bootstrap step that runs init.sh.
Smoke-run with verify_run (no feature_id) to confirm the initial gate is green on a clean checkout.
Commit the harness files via bash_exec:
git add .agx/project init.sh verify.yaml
git commit -m "chore(project): initialize harness with N features"
Keep this commit small — only harness files, no business code.
Append a closing progress note with progress_append (e.g. "[initialize-done] commit=<sha> features=N") and tell the user the project is ready for a Coding session.
Forbidden
Editing business code in this session.
Selecting or completing a feature — that is the Coding phase's job.
Project Initializer 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.
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
A skill your agent uses when scanning an arbitrary Git repository to create, refresh, or selectively update Markdown summaries of code modules, especially when changes must be traced from each…
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems.
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.
A skill your agent uses when the user asks about verifiable quantitative facts (stock prices, financial indicators, macro data, company registry, academic metrics, legal statutes) that must come…
Initializer agent for the project-level harness — turn a spec or issue into featurelist.json, init.sh, verify.yaml, and an initial commit. Project Initializer is an agent skill from DemonDamon/AgenticX.yaml, and an initial commit.
When should I use Project Initializer?
Project Initializer fits situations like: AI & LLM Engineering work in your project.
How do I install Project Initializer in Claude Code?
Run `npx skills add DemonDamon/AgenticX --skill project-initializer -a claude-code`. Or copy the skill folder (agenticx/skills/bundled/project-initializer in DemonDamon/AgenticX) into .claude/skills/project-initializer in your project. Claude Code loads it when a task matches its description.
How do I install Project Initializer in Codex?
Run `npx skills add DemonDamon/AgenticX --skill project-initializer -a codex`. Or copy the skill folder (agenticx/skills/bundled/project-initializer in DemonDamon/AgenticX) into .agents/skills/project-initializer in your project. Codex loads it when a task matches its description.
Can I use Project Initializer 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 DemonDamon/AgenticX --skill project-initializer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/project-initializer, .gemini/skills/project-initializer, .github/skills/project-initializer and .opencode/skills/project-initializer in your project.
What does Project Initializer need to run?
Going by SKILL.md and its folder, Project Initializer needs the command-line tools its instructions call (git).
Does Project Initializer access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Project Initializer 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 Project Initializer use?
Project Initializer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Project Initializer use?
About 632 tokens (SKILL.md is roughly 2.5k 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 Project Initializer?
Skills that share tags, products or a category with Project Initializer: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Project Initializer?
DemonDamon (a GitHub user) maintains it in DemonDamon/AgenticX, which has 294 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: DemonDamon/AgenticX on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
