session-learnings
Extract and codify learnings from planning-with-files sessions
Découvrez les skills Entreprise, comparez leurs dépôts et consultez leurs instructions.
Extract and codify learnings from planning-with-files sessions
Automated technical debt identification, tracking, and prioritization system
Validation for XIRR and fee calculations. Use when working on server/analytics/xirr.ts, server/analytics/fees.ts, or their truth cases.
Architecture for the 'living model': graduation rates, multi-MOIC analysis, reserves ranking, scenarios, and Monte Carlo. Always sits on top of the deterministic core.
Comprehensive security scanning for SAST, secrets, OWASP vulnerabilities, container and IaC security
Guide for refactoring complex React/Next.js components to be clean, modular, and maintainable. Use when code is too long (>200 lines), complex, or hard to maintain.
A comprehensive auditing suite for the JupitLunar website. It performs deep scans for broken links, console errors, accessibility issues, SEO compliance, and feature verification. Use this when the user asks to...
Guide for cleaning up the project structure, removing unused files, and organizing documentation. Use when the user asks to "clean the project", "remove unused files", or "organize the codebase".
Create and validate portable Agent Skills. Use when authoring new skills, validating existing skills, or learning skill best practices. Guides through structure, portability, and progressive disclosure.
Example skill showing minimal structure. Use as a template for creating new skills.
Use when current web info needed to avoid broken implementations
Use when analyzing YouTube videos for research or learning
Use when creating or editing skills for ai-coding-config repo
Use when automating browsers, testing pages, or taking screenshots
Use when rough ideas need design before code or multiple approaches
Use when current web info needed to avoid broken implementations
Use when rough ideas need design before code or multiple approaches exist
Use for bugs, test failures, or unexpected behavior needing root cause
Use when distributing multiple tasks across agents or VMs - handles work manifests, dependency graphs, parallel execution, agent coordination, and failure recovery for batch development workflows
Use when creating or editing skills for ai-coding-config repo
Use when analyzing YouTube videos for research or learning
Use for bugs, test failures, or unexpected behavior needing root cause
Diagnoses Kubernetes pod issues automatically. Use when pods are in CrashLoopBackOff, ImagePullBackOff, Pending, or Error state. Analyzes events, logs, and resource status to identify root causes.
Routes to local LLM for sensitive operations. Use when user says "로컬에서 처리해줘", "외부로 보내지 마", "민감한 데이터야", "보안 감사해줘", "credential 분석", "시크릿 확인", or handles sensitive data that sho...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.