Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when the user says: 'set up a team', 'create agents for', 'team for this project', 'who should work on this', or after Discovery in a project setup flow.
$ npx skills add FerroxLabs/ijfw --skill ijfw-team -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-team --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/FerroxLabs/ijfw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/ijfw-team .claude/skills/ijfw-team && 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 "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .claude/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-teamType 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 FerroxLabs/ijfw --skill ijfw-team -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-team --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/codex/skills/ijfw-team .agents/skills/ijfw-team && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .agents/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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 FerroxLabs/ijfw --skill ijfw-team -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-team --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/codex/skills/ijfw-team .cursor/skills/ijfw-team && 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 "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .cursor/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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/FerroxLabs/ijfw.git --path codex/skills/ijfw-team--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 FerroxLabs/ijfw --skill ijfw-team -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-team --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/codex/skills/ijfw-team .gemini/skills/ijfw-team && 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 "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .gemini/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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 FerroxLabs/ijfw ijfw-teamInstalls 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 FerroxLabs/ijfw --skill ijfw-team -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .github/skills && cp -r skills-src/codex/skills/ijfw-team .github/skills/ijfw-team && 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 "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .github/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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 FerroxLabs/ijfw --skill ijfw-team -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-team --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/codex/skills/ijfw-team .opencode/skills/ijfw-team && 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 "ijfw-team" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-team into .opencode/skills/ijfw-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-team", 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.
ijfw-teamA skill your agent uses when the user says: 'set up a team', 'create agents for', 'team for this project', 'who should work on this', or after Discovery in a project setup flow.
Ijfw Team is an agent skill from FerroxLabs/ijfw. Use when the user says: 'set up a team', 'create agents for', 'team for this project', 'who should work on this', or after Discovery in a project setup flow.
Its SKILL.md is about 3.7k 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, covering Building AI agents. The repository describes itself as: IJFW — It Just Fcking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit eda62f3. 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.
Shell commands in SKILL.md call:
codexFrom 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.
Ijfw Team loads about 3.7k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 1,504 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 FerroxLabs/ijfw at commit eda62f3, republished under its MIT licence (© FerroxLabs). 1,504 words, ~3,733 tokens.
.claude/skills/ijfw-team/SKILL.md (or your agent's skills folder).Assembles a project-specific operating team. Team Assembly is project-agnostic: it works for software, books, content, design, research, business strategy, education, operations, and mixed projects.
Do not treat every team as a code-generation swarm. Generate the agents plus the operating contracts that let those agents coordinate around artifacts, claims, reviews, and handoffs.
CLI entry point: ijfw team init [--archetype <type>] [--name <team-name>].
ijfw team is the skill/workflow trigger; ijfw team init is the concrete
command that writes .ijfw/team/, .ijfw/agents/, and Codex agent files.
.ijfw/agents/, .codex/agents/, and .ijfw/team/ as applicableTeam Assembly 2.0 produces three coordinated surfaces:
.ijfw/agents/*.md -- portable human/platform-readable agent definitions.codex/agents/*.toml -- Codex custom agents generated from the same role contracts when Codex is installed or ijfw codex sync-agents is run.ijfw/team/charter.json -- team roster, role contracts, phase scope, owned artifacts, reviewed artifacts, conflict rules, handoff requirements, verification responsibilities.ijfw/team/workflow.json -- project work manifest: archetypes, artifacts, owners, dependencies, waves, review graph, verification commands or rubricsKeep .ijfw/agents/*.md lightweight and role-focused. Put machine-readable
ownership, dependency, review, and coordination details in the charter and
workflow manifest.
Codex TOML agents are platform-native projections, not a separate source of
truth. Regenerate them with ijfw codex sync-agents after changing the team
charter, and check the local Codex install with ijfw codex doctor.
Infer archetypes from the brief, repository signals, existing files, and user corrections. Support mixed projects instead of forcing one label.
Common archetypes:
If the project doesn't match a template above, ask: "What roles would you need on a team to build this well?"
Then generate agents from the user's description. Map each role to a model tier:
Examples of non-standard teams:
The templates above are starting points. Every team is customized to the specific project.
Every role should have a contract in .ijfw/team/charter.json with:
name, role_type, model, and effortphase_scope such as discovery, shape, execute, review, integrateowns entries for artifact types and path globs or non-file artifact IDsreviews entries with review criteriahandoff format and required sectionscoordination rules including claim requirements and conflict boundariesverification responsibility: commands for code, rubrics for non-code workExample contract shape:
{
"name": "ux-researcher",
"role_type": "research",
"model": "sonnet",
"effort": "medium",
"phase_scope": ["discovery", "shape", "review"],
"owns": [
{"artifact_type": "user_flow", "paths": ["design/flows/**"]}
],
"reviews": [
{"artifact_type": "screen", "criteria": ["usability", "accessibility"]}
],
"handoff": {
"format": "markdown",
"required_sections": ["findings", "risks", "recommendations", "changed_artifacts"]
},
"coordination": {
"parallel_safe": true,
"conflicts_with": ["ui-designer when editing design/tokens/**"],
"claim_required": true
}
}The workflow manifest describes work in domain terms. It is not just a file list and must not assume code-only verification.
Each artifact entry should include:
idtypepaths where file-backed, or a non-file artifact referenceownerreviewersdepends_onverification as commands, checks, rubrics, or acceptance criteriaEach wave should include:
idmode: parallel, sequential, or reviewartifact_idsExample manifest shape:
{
"project_archetypes": ["software", "design"],
"artifacts": [
{
"id": "design-preview-flow",
"type": "prototype",
"paths": [".planning/brainstorm/*.html"],
"owner": "ui-designer",
"reviewers": ["ux-designer", "accessibility-reviewer"],
"depends_on": [],
"verification": ["ijfw design push .planning/brainstorm/*.html"]
}
],
"waves": [
{
"id": "w1",
"mode": "parallel",
"artifact_ids": ["schema-foundation", "design-command-docs"]
}
]
}Each generated agent follows this structure:
---
name: <role-name>
model: <haiku|sonnet|opus>
effort: <low|medium|high>
description: <when to use this agent -- 1-2 lines>
allowed-tools: <relevant tools for this role>
---
<Role-specific instructions for this project>
Context from project brief:
<Relevant details from the brief that this agent needs>
Rules:
<Role-specific rules>When Codex is available, Team Assembly also writes .codex/agents/*.toml from
the same role contracts. If .codex/ is absent, unwritable, or intentionally
out of scope for the project, keep .ijfw/team/charter.json as canonical,
write .ijfw/agents/ markdown role files, and tell the user to run
ijfw codex sync-agents later from a writable Codex-enabled checkout. Each
Codex TOML file includes:
name -- stable role identifierdescription -- when to use the agentdeveloper_instructions -- project-specific role contract, artifact scope,
blackboard discipline, verification, handoff format, and non-revert rulesOptional Codex-only model fields are included only when the role explicitly
defines them. Keep the canonical role contract in .ijfw/team/charter.json;
use ijfw codex sync-agents to refresh TOML files after team edits.
Codex runtime caveat: some tool-backed sessions expose a generic spawn_agent
without named custom-agent invocation. In that case, use the generated TOML as
durable role documentation and paste ijfw swarm prompt <task-id> --codex into
the built-in worker or explorer agent. The prompt is designed to carry the full
artifact scope and blackboard contract even without named custom-agent routing.
After generating, present the team and operating outputs as:
Project team ready:
architect (opus) -- system design, security model, API surface
senior-dev (sonnet) -- auth flow, payment integration, complex features
dev (sonnet) -- CRUD endpoints, tests, UI components
qa (sonnet) -- test strategy, edge cases, regression suite
security (opus) -- threat model, auth audit, data protection
Agents saved to .ijfw/agents/
Codex agents saved to .codex/agents/ when Codex agent sync is available; otherwise .ijfw/team/charter.json remains canonical
Charter saved to .ijfw/team/charter.json
Workflow saved to .ijfw/team/workflow.json
Codex health check: ijfw codex doctor
Adjust with: "swap qa for a dedicated performance engineer"Positive framing. Team is "ready" not "generated." Feels like hiring, not configuring.
During workflow Execute stage, tasks are dispatched through the workflow manifest and charter:
.ijfw/blackboard/Review examples:
Team Assembly should prepare agents to coordinate through the project blackboard when execution begins:
.ijfw/blackboard/tasks.json tracks task graph and statuses.ijfw/blackboard/claims.json tracks active artifact ownership.ijfw/blackboard/findings.jsonl records review notes and issues.ijfw/blackboard/decisions.jsonl records runtime decisions.ijfw/blackboard/blockers.jsonl records blocked work.ijfw/blackboard/handoff.md summarizes active swarm stateClaims are artifact-aware. A claim can be a file glob, chapter, design token set, research corpus, strategy model, lesson plan, or any project-specific artifact. Agents must release or hand off claims when their task completes.
Worktrees are optional and only for code-heavy projects or code-heavy portions of mixed projects.
Use git worktrees when:
Do not require worktrees for:
For non-code and mixed non-code work, use blackboard claims, artifact-scoped output paths, and staged review gates instead.
User can always:
Modifications update .ijfw/agents/ immediately. AGENTS.md remains the
canonical cross-platform instruction surface; after team changes, update only
the IJFW-AGENTS managed region with the current role names, owned artifacts,
and agent file paths. Preserve all content outside IJFW markers. If the
block-aware AGENTS merger is available, use it; otherwise record a checkpoint
and state exactly which AGENTS region still needs mirroring.
Agents in .ijfw/agents/ work with any platform that reads agent markdown.
If .forge/ directory exists, IJFW also reads agents from there.
.ijfw/ and .forge/ are treated as compatible project directories.
© FerroxLabs, 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 codex/skills/ijfw-team of FerroxLabs/ijfw.
Open the folder on GitHubat commit eda62f3
Ijfw Team 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 |
|---|---|---|---|---|---|---|
| Ijfw Team this skillFerroxLabs/ijfw | 212 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Paperclip Create Agentpaperclipai/paperclip | 99k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Create Agentgnekt/My-Brain-Is-Full-Crew | 3.9k | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Ms Agent Framework RAGshuyu-labs/WebCode | 278 | — | ~1.1k | Automated safety check: Pass | Custom licence |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
paperclipai/paperclip
Create new agents in Paperclip with governance-aware hiring.
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
gnekt/My-Brain-Is-Full-Crew
Create a new custom agent from scratch. An agent skill from gnekt/My-Brain-Is-Full-Crew.
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
pifferologo/cloud-agents-cli
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent…
FerroxLabs/ijfw
Maintain canonical AGENTS.md (open spec). An agent skill from FerroxLabs/ijfw.
FerroxLabs/ijfw
A skill your agent uses when the user says: 'design', 'redesign', 'UI', 'UX', 'dashboard', 'page', 'component', 'make it look better', 'polish', 'pretty', 'professional', 'user experience'…
FerroxLabs/ijfw
A skill your agent uses when a milestone is shipping and you need to archive its artifacts, generate a summary, and seed the next milestone.
FerroxLabs/ijfw
Challenge decisions, surface counter-arguments, flag assumptions.
FerroxLabs/ijfw
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact.
FerroxLabs/ijfw
Root-cause analysis with hypothesis tracking. An agent skill from FerroxLabs/ijfw.
Categories
A skill your agent uses when the user says: 'set up a team', 'create agents for', 'team for this project', 'who should work on this', or after Discovery in a project setup flow. Ijfw Team is an agent skill from FerroxLabs/ijfw. Use when the user says: 'set up a team', 'create agents for', 'team for this project', 'who should work on this', or after Discovery in a project setup flow.
Ijfw Team fits situations like: the user says: set up a team; create agents for; team for this project; who should work on this.
Run `npx skills add FerroxLabs/ijfw --skill ijfw-team -a claude-code`. Or copy the skill folder (codex/skills/ijfw-team in FerroxLabs/ijfw) into .claude/skills/ijfw-team in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FerroxLabs/ijfw --skill ijfw-team -a codex`. Or copy the skill folder (codex/skills/ijfw-team in FerroxLabs/ijfw) into .agents/skills/ijfw-team 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 FerroxLabs/ijfw --skill ijfw-team -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ijfw-team, .gemini/skills/ijfw-team, .github/skills/ijfw-team and .opencode/skills/ijfw-team in your project.
Going by SKILL.md and its folder, Ijfw Team needs the command-line tools its instructions call (codex).
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.
Ijfw Team is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k 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 Ijfw Team: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Paperclip Create Agent (paperclipai/paperclip, 99k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and Create Agent (gnekt/My-Brain-Is-Full-Crew, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FerroxLabs (a GitHub user) maintains it in FerroxLabs/ijfw, which has 212 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 5, 2026.
Source: FerroxLabs/ijfw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.