compound-learnings
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Observe Before Editing
Never Use TaskOutput
Metacognitive check-ins during problem solving - detects when to pivot or persist
Create and use Claude Code slash commands - quick prompts, bash execution, file references
Implement technical plans from thoughts/shared/plans with verification
Problem-solving strategies for prime numbers in graph number theory
Release preparation workflow - security audit → E2E tests → review → changelog → docs
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
Formal theorem proving with research, testing, and verification phases
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
Migration workflow - research → analyze → plan → implement → review
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
Agentic Workflow Pattern
Problem-solving strategies for operator theory in functional analysis
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging
Analyze brownfield codebase and create initial continuity ledger
Problem-solving strategies for source coding in information theory
Problem-solving strategies for natural transformations in category theory
Scrape web pages and extract content via Firecrawl MCP
Problem-solving strategies for rings in abstract algebra
Problem-solving strategies for gradient methods in optimization
Problem-solving strategies for graph algorithms in graph number theory
Problem-solving with Rudin's Real and Complex Analysis textbook
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.