anti-pattern-audit
Skill9 starsChanged 6 months agoMITView on GitHub
Monthly self-deception audit — 25 anti-patterns from CEO Bible Section M
1 other project uses a version of this.
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- Layneformalized225/ai-cofounderword for word, first seen Mar 22, 2026
Other versions1 project uses a version of this.
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- Layneformalized225/ai-cofounder★ 1100% same
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Wrote their own version · 0
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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.
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The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
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 13
Read daily logs and weekly reviews for the past month
- Distinctive: line 14
Read MEMORY.md — current state
- Distinctive: line 15
Check each block of anti-patterns
- Distinctive: line 79
Follow output preferences from USER.md (language, format, platform constraints).
- Distinctive: line 84
Use concrete data: "this week 2 conversations out of 8-12 target"
- Distinctive: line 85
Don't sugar-coat or soften
≈ “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
Anti-Pattern Audit
Monthly self-deception check. Based on CEO Bible Section M.
Process
- Read daily logs and weekly reviews for the past month
- Read MEMORY.md — current state
- Check each block of anti-patterns
- Score: 0 (not observed), 1 (mild risk), 2 (active problem)
- Total score > 8 = serious conversation needed
Block 1: General Founder-CEO Mistakes
- Too many wedges at once — is there diluted signal?
- Confusing early revenue with repeatability — a few sales != PMF
- Letting early customers dictate roadmap — building a services company?
- Scaling GTM before retention/onboarding stable — water into leaky bucket?
- Treating fundraising as validation — investor interest != customer truth
Block 2: Ex-Engineer Founder Mistakes
- Hiding in product — what % of time does the founder spend in code vs with customers?
- "Product should speak for itself" — markets don't decode architecture
- Leading with features, not pain — buyers buy changed outcomes
- Building platform before earning wedge — breadth is tax on learning
- Delegating sales/positioning too early — losing best signal stream
Block 3: Metric Interpretation Mistakes
- Aggregate dashboards vs cohort/segment cuts
- Calling pilots "ARR"
- Signed contracts = retention proof when engagement dead
- Optimizing traffic before activation/TTFV
- Counting shipped experiments vs changed beliefs
Block 4: Growth Mistakes Before PMF
- Many channels before one message lands
- Paid acquisition to compensate poor positioning
- Outbound with no proof, no content, no trust
- B2C DAU as success when B2B conversion weak
- Hiring marketer to find PMF
Block 5: AI-Era Specific Mistakes
- Demo excitement != durable value
- Selling "AI" instead of measurable business result
- Ignoring trust/evals/data handling until procurement
- Pricing ignoring compute/HITL costs -> negative-margin growth
- AI summaries replacing direct founder contact -> synthetic certainty
Output Format
Anti-Pattern Audit — [Month YYYY]
Score: X/50
Critical (score 2):
- #N: [description] — [evidence from this month]
Watch (score 1):
- #N: [description] — [early signs]
Clean:
- [list of areas with no issues]
Recommendation:
[Top 3 actions to address critical patterns]Follow output preferences from USER.md (language, format, platform constraints).
Rules
- Be honest. If the founder is hiding in code — say it directly.
- Use concrete data: "this week 2 conversations out of 8-12 target"
- Don't sugar-coat or soften
- Log the result to
memory/YYYY-MM-DD.md
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