@parcadei · 91 items
Code refactoring workflow - analyze → plan → implement → review → validate
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
Migration and upgrade review
General bug investigation and root cause analysis
Analyze brownfield codebase and create initial continuity ledger
Fast codebase search via WarpGrep (20x faster than grep)
Create and use Claude Code slash commands - quick prompts, bash execution, file references
External research workflow for docs, web, APIs - NOT codebase exploration
Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
Session analysis, precedent lookup, and learning extraction
Guide to the math cognitive stack - what tools exist and when to use each
Choose the right search tool for each query type
Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase
Upgrade any skill to v5 Hybrid format using decision theory + modal logic
Multi-agent coordination for complex patterns
Migration workflow - research → analyze → plan → implement → review
Analyze Claude Code sessions using Braintrust logs
Show full session token usage, costs, TLDR savings, and hook activity
System health check (MOT) for skills, agents, hooks, and memory
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
Performance profiling, race conditions, memory issues
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
Lightweight fixes and quick tweaks
Code quality checks, formatting, and metrics via qlty CLI
Search past reasoning for relevant decisions and approaches
Maps questions to the optimal tldr command. Use this to pick the right layer
Research agent for external documentation, best practices, and library APIs via MCP tools
Codebase exploration and pattern finding
Formal theorem proving with research, testing, and verification phases
Refactoring planning AND migration planning
Planning agent that creates implementation plans and handoffs from conversation context
Resume work from handoff document with context analysis and validation
Extract perception changes from session thinking blocks and store as learnings
External research - web, docs, APIs with optional LLM
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Unit and integration test execution and validation
Analyze Claude Code sessions using Braintrust logs
Security vulnerability analysis and testing
Documentation, handoffs, session summaries, and ledger management
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
Document the codebase comprehensively
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Create implementation plans using research, best practices, and codebase analysis
Build Python agents using Agentica SDK - spawn agents, implement agentic functions, multi-agent orchestration