Tired of Your AI Making the Same Mistakes?
AI that remembers what went wrong and learns not to repeat it. 7 skills for failure-anchored memory. For developers building autonomous agents with Claude Code, Cursor, or any LLM.
From Failure to Learning
Most AI forgets its failures. Same mistakes, session after session. Agentic skills fix that. When something goes wrong, it gets recorded. When the same mistake happens again, it becomes a pattern. When the pattern is confirmed by multiple sources, it becomes a rule.
AI learns from consequences, not instructions. Failures become constraints.
How It Works
Eligibility Criteria
3
Recurrence
Seen at least 3 times
2
Confirmations
Verified by multiple sources
< 20%
Disconfirmation rate
Not frequently disputed
The 7 Skills
failure-memory/fmStart HereRecords failures with R/C/D counters, detects recurring patterns.
constraint-engine/ceWhat Happens NextGenerates constraints from recurring failures, enforces them at runtime.
context-verifier/cvSupportingVerifies file integrity via SHA-256 hashes, detects unauthorized changes.
review-orchestrator/roSupportingCoordinates multi-perspective reviews (technical, creative, external).
governance/govLifecycleManages constraint lifecycle, triggers 90-day reviews.
safety-checks/scAdvancedValidates model configs, enforces pinning, provides fallbacks.
workflow-tools/wtAdvancedDetects infinite loops, evaluates parallel vs serial decisions.
Three-Layer Architecture
Layer 1: SKILL.md
Portable instructions. Works with any LLM agent.
Layer 2: Workspace
Shared files for cross-session state and memory.
Layer 3: Automation
Claude Code hooks for runtime enforcement.
Installation
GitHub (Recommended)
git clone https://github.com/live-neon/skills.git
cp skills/agentic/*/SKILL.md ~/.claude/skills/Any LLM Agent
Copy the SKILL.md contents into your agent's system prompt. Compatible with Claude, GPT, Gemini, and any instruction-following model.