agent-onboarding
Skill1 starsChanged 8 months agoMITView on GitHub
Use when Wendy is onboarding a brand-new OpenClaw agent, defining a fresh role before first use, or preparing a new agent environment with canonical profile files, SOP ownership, skills assignment, and runtime setup. Use for new agent initialization only. Do not use for re-onboarding, legacy migration, or historical cleanup.
8 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- AndrewBrown-USDA/aigb-skills-usdatheir own version, first seen Oct 31, 2026
- brightdata/skillstheir own version, first seen Oct 29, 2026
- PL-Coding-GmbH/Skillstheir own version, first seen Oct 25, 2026
- Nunchi-trade/agent-clitheir own version, first seen Oct 8, 2026
- forefy/.contexttheir own version, first seen Sep 29, 2026
- conjure-3301/skillstheir own version, first seen Aug 17, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zinan92/skills-repo★ 194% same
Wrote their own version · 7
- Nunchi-trade/agent-cli★ 521same name
- brightdata/skills★ 270same name
- forefy/.context★ 153same name
- PL-Coding-GmbH/Skills★ 18same name
- skyil7/agent-onboarding★ 9same name
- AndrewBrown-USDA/aigb-skills-usda★ 7same name
- conjure-3301/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- brainstormingSkill
- canvas-communicationSkill
- connect-the-dotsSkill
- verification-before-completionSkill
- writing-plansSkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 10 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Create a clean, standardized environment for a brand-new agent.
- Very specific: line 54
Use spec-template.md as the intake form.
- Distinctive: line 58
Create one clear role, not a blended job title.
- Distinctive: line 60
Put canonical definitions under Wendy, not inside the target workspace.
- Distinctive: line 61
Do not invent memory or usage history for unused agents.
- Distinctive: line 62
Do not create fake work logs, fake learnings, or fake user context.
- Distinctive: line 64
If scope or access is unclear, stop and resolve that before scaffolding.
- Distinctive: line 65
Do not create independent copies of profile markdown files in the target workspace.
- Distinctive: line 77
Every new agent workspace must contain:
- Very specific: line 140
Do not fabricate a heartbeat schedule if the agent is event-driven.
- Distinctive: line 168
Leave as a blank, real-use placeholder.
- Distinctive: line 181
When onboarding is complete, report in this structure:
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agent Onboarding
Create a clean, standardized environment for a brand-new agent.
This skill is for new agent initialization only. It does not migrate old workspaces, reconstruct memory, or retrofit legacy agents.
Core Model
Split onboarding into two layers:
agent-runtime-spec= canonical operating definition stored under Wendyagent-runtime-state= live execution surface stored in the target agent workspace
Wendy owns the single source of truth for:
- agent profiles
- SOPs
- skills management
- runtime specs
The target agent workspace only owns:
.openclaw/workspace-state.jsoninbox/active/handoff/archive/- symlinks to canonical profile files
Required Input Spec
Collect and freeze these fields before creating anything:
Agent NameJob TitleCompanyReports ToWorkspace PathResponsibilitiesRequirementsKPIsScope BoundaryTools & AccessModel TierScheduleInteraction ProtocolEscalation Rules
Use spec-template.md as the intake form.
Core Rules
- Create one clear role, not a blended job title.
- Allow only one direct manager in
Reports To. - Put canonical definitions under Wendy, not inside the target workspace.
- Do not invent memory or usage history for unused agents.
- Do not create fake work logs, fake learnings, or fake user context.
- Standardize the environment first; personality and SOP nuance can be refined later.
- If scope or access is unclear, stop and resolve that before scaffolding.
- Do not create independent copies of profile markdown files in the target workspace.
Canonical Paths Under The System Owner
For agent slug <agent-slug>, store canonical definitions here:
agent-profiles/<agent-slug>/agent-runtime-specs/<agent-slug>.mdsops/<agent-slug>/
Target Workspace Structure
Every new agent workspace must contain:
- symlinked
AGENTS.md - symlinked
IDENTITY.md - symlinked
SOUL.md - symlinked
HEARTBEAT.md - symlinked
TOOLS.md - symlinked
USER.md .openclaw/workspace-state.jsoninbox/active/handoff/archive/
File Mapping
AGENTS.md
This is the operating contract. It must contain:
- Agent Name
- Job Title
- Company
- Reports To
- Responsibilities
- Requirements
- KPIs
- Scope Boundary
- Tools & Access
- Model Tier
- Schedule
- Interaction Protocol
- Escalation Rules
IDENTITY.md
Keep it short:
- Name
- Creature / role label
- Vibe
- Emoji
- Focus
SOUL.md
Define:
- who the agent is
- what it owns
- how it works
- what it does not do
- relationship to neighboring roles
HEARTBEAT.md
Define recurring operating rhythm only:
- daily checks
- scheduled tasks
- queue hygiene
- escalation checks
Do not fabricate a heartbeat schedule if the agent is event-driven. Write event-driven instead.
TOOLS.md
Record:
- role-specific skills
- standard baseline skills
- access rules
- writable directories
- readable directories
- channels / threads / systems the agent may use
agent-runtime-spec
This lives under Wendy and defines:
- workspace path
- model tier
- schedule
- required skills
- SOP references
- writable/readable paths
- channels / systems
- escalation expectations
USER.md
Leave as a blank, real-use placeholder. Do not prefill personal memory.
Workflow
- Freeze the onboarding spec in
spec-template.mdformat. - Choose an
agent-slug. - Run
./scaffold_agent_workspace.sh <agent-slug> <workspace_path>. - Fill the canonical profile files, SOP placeholder, and runtime spec under Wendy.
- Run
./validate_agent_workspace.sh <agent-slug> <workspace_path>. - Install or link required skills and report remaining manual setup.
Output Format
When onboarding is complete, report in this structure:
## New Agent
- Name:
- Job Title:
- Canonical Profile:
- Runtime Spec:
- Workspace:
- Reports To:
## Installed Structure
- canonical profile: complete / incomplete
- runtime spec: complete / incomplete
- runtime state: complete / incomplete
- skills: installed / pending
- SOP placeholders: complete / incomplete
## Open Items
- [remaining manual step]Anti-Patterns
- Treating re-org migration as onboarding
- Creating memory files for an unused agent
- Leaving
Scope Boundaryvague - Giving the agent multiple bosses
- Installing skills without documenting access boundaries
- Creating a workspace before deciding the owner and path
- Treating workspace-local markdown files as the source of truth
Quick Reference
- Spec template:
spec-template.md - Scaffold script:
scaffold_agent_workspace.sh - Validation script:
validate_agent_workspace.sh - Eval prompts:
evals.json
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

