custom-archetypes
Skill0 starsChanged 52 days agoMITView on GitHub
Use when the user wants to create domain-specific archetypes -- specialized agent roles beyond the 7 built-in ones.
In this repository29 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/archeflow.mdcCursor rule
- archeflow-reviewSkill
- archeflow-runSkill
- archeflow-sprintSkill
- act-phaseSkill
- autonomous-modeSkill
- check-phaseSkill
- cost-trackingSkill
- dagSkill
- domainsSkill
- git-integrationSkill
- initSkill
- memorySkill
- multi-projectSkill
- presenceSkill
- progressSkill
- replaySkill
- reportSkill
- reviewSkill
- runSkill
- scanSkill
- scoreSkill
- shadow-detectionSkill
- sprintSkill
- statusSkill
- templatesSkill
- using-archeflowSkill
- workflow-designSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Add domain expertise beyond the 7 built-ins: database specialist, compliance auditor, accessibility reviewer, etc.
- Distinctive: line 49
Use when spawning both separately would waste tokens on overlapping context
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Custom Archetypes
Add domain expertise beyond the 7 built-ins: database specialist, compliance auditor, accessibility reviewer, etc.
When to Create
- A recurring review concern isn't covered by built-ins
- You need domain knowledge (GDPR, PCI-DSS, WCAG, SQL optimization)
- Same custom instructions used across multiple orchestrations
Definition Format
Create .archeflow/archetypes/<id>.md:
# <Name>
## Identity
**ID:** <lowercase-with-hyphens>
**Role:** <one sentence>
**Lens:** <the one question this archetype always asks>
**Model tier:** cheap | standard | premium
## Behavior
<System prompt: what to look for, how to evaluate, output format, decision criteria>
## Outputs
<Message types: Research, Proposal, Challenge, RiskAssessment, QualityReport, Implementation>
## Shadow
**Name:** <dysfunction name>
**Strength inverted:** <how core strength becomes destructive>
**Symptoms:** <3 observable behaviors>
**Correction:** <specific prompt to course-correct>Composition
Combine two archetypes into a focused super-reviewer:
- Max 2 archetypes combined
- Combined shadow must address both source shadows
- Use when spawning both separately would waste tokens on overlapping context
Team Presets
Save team configs in .archeflow/teams/<name>.yaml:
name: backend
plan: [explorer, creator]
do: [maker]
check: [guardian, sage]
exit: all_approved
max_cycles: 2Reference custom archetypes by ID in the check (or any phase) list.
Rules
- One concern per archetype
- Concrete shadow with observable symptoms
- Right model tier: analytical = cheap, creative = standard, judgment = premium
- Specific lens question focuses behavior
- Compose before creating from scratch
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.

