The 7 Laws of AI Agent Discipline for Claude Code. Stops your agent from skipping research, claiming 'done' without verifying, and repeating yesterday's mistakes. 14 enforcement skills, gating hooks, the Mulahazah instinct engine with friction-harvest, and a GitHub Action linter. Beginner: /plugin install. Expert: adds MCP tools.
continuous-improvement is a Claude Code agent skill that the 7 Laws of AI Agent Discipline for Claude Code. Stops your agent from skipping research, claiming 'done' without verifying, and repeating yesterday's mistakes. 14 enforcement skills, gating hooks, the Mulahazah instinct engine with friction-harvest, and a GitHub Action linter. Beginner: /plugin install. Expert: adds MCP tools.
npx skills add naimkatiman/continuous-improvementInstalled? Explore more Research & Data Analysis skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
The 7 Laws of AI Agent Discipline for Claude Code. Stops your agent from skipping research, claiming 'done' without verifying, and repeating yesterday's mistakes. 14 enforcement skills, gating hooks, the Mulahazah instinct engine with friction-harvest, and a GitHub Action linter. Beginner: /plugin install. Expert: adds MCP tools.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.