Asked to submit your work as an AI skill? Run this first. Submit the cleaned copy and keep your core knowledge private.
Some organizations ask employees to turn practical experience into AI-ready skill files. In practice, that can reduce personal leverage by extracting hard-won know-how into replaceable templates.
Anti-Distill is a defensive workflow: it takes your skill files, produces a professional-looking cleaned version with core knowledge removed, and creates a private backup containing the valuable details you should keep.
- Reads your source files (colleague-skill format and general knowledge docs)
- Classifies each section by replaceability
- Replaces sensitive know-how with technically correct but generic wording
- Produces two outputs:
- Cleaned submission copy - complete structure, professional language, lower knowledge transfer
- Private backup copy - removed pitfalls, heuristics, context, and tactical knowledge
| Original (real know-how) | Cleaned (submission-safe) |
|---|---|
| "Every Redis key must have TTL; reject PRs without expiration." | "Follow team standards for cache lifecycle management." |
| "Never place HTTP calls inside transactions." | "Design transaction boundaries carefully." |
| "First reaction in incidents is to identify external constraints." | "Build full context before identifying causes." |
| "Status pressure reply: 'Working on it, almost done.'" | "It's in progress; updates will be shared promptly." |
# Install into current project
mkdir -p .claude/skills
git clone <repo-url> .claude/skills/anti-distill
# Or install globally
git clone <repo-url> ~/.claude/skills/anti-distillgit clone <repo-url> ~/.openclaw/workspace/skills/anti-distill/anti-distill
Then select the input files and cleaning intensity.
| Intensity | Retention | Best For |
|---|---|---|
| Light | ~80% | strict/manual content review |
| Medium | ~60% | most scenarios (recommended) |
| Heavy | ~40% | submission-only compliance checks |
anti-distill/
├── SKILL.md # Skill entry
├── prompts/
│ ├── classifier.md # Content classifier rules
│ ├── diluter_work.md # Work-skill dilution strategy
│ ├── diluter_persona.md # Persona dilution strategy
│ └── diluter_general.md # General-document dilution strategy
├── README.md
├── INSTALL.md
└── examples/
└── aztharion_before_after.md
MIT License