@parcadei

modular-code provides concrete heuristics for right-sizing python files and splitting strategies, targeting codebases that exceed 500-2000 line thresholds. covers package structure, natural split points, and refactoring workflows.

search-router routes code queries to the most token-efficient tool based on query type, prioritizing tldr search for symbols and call chains, ast-grep for structural patterns, and grep only as a last resort for literal matches.

research-external guides users through structured external research workflows across docs, web, and apis, with branching question flows that map to focus modes (library, best-practices, general) and configurable depth and output formats.

parallel-agent-contracts enforces type deduplication across concurrent code generation agents via explicit ownership mapping, pre-creation grep checks, and mandatory typescript verification gates.

reference-sdk provides guidance on checking external SDK implementations via btca ask to learn patterns for streaming, tool calling, and validation. three preconfigured resources (vercel-ai, anthropic-sdk, zod) plus extensible resource system.

async-repl-protocol establishes conventions for writing code blocks in agentica's async repl harness, covering await syntax, single-block execution, and basic failure recovery patterns.

dead-code wraps tldr static analysis to identify unused functions and unreachable code across projects, with configurable entry point filtering but minimal guidance on interpretation or handling results.

nia-docs wraps semantic search across 3000+ packages in npm, pypi, crates, and go registries. lacks clear intent definition, decision logic, and failure handling.

Store a learning, pattern, or decision in the memory system for future recall

discovery-interview — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Code quality checks, formatting, and metrics via qlty CLI

Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging

Debug issues by investigating logs, database state, and git history

Meta-skill for creating and managing Claude Code skills

Create or update continuity ledger for state preservation across clears

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Comprehensive code review workflow - parallel specialized reviews → synthesis

MCP Script Rules

Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.

Use RepoPrompt CLI for token-efficient codebase exploration

Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)

Spawn Agentica multi-agent patterns

Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)

Create git commits with user approval and no Claude attribution

implement_plan_micro — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Search Tool Hierarchy

Analyze Claude Code sessions via Braintrust

Fast codebase search via WarpGrep (20x faster than grep)

Get a token-efficient overview of any project using the TLDR stack

Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

Identify failure modes before they occur using structured risk analysis

Environment Triage

Skill Development Rules

Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates

Deterministic router for math cognitive stack - maps user intent to exact CLI commands

AST-based code search and refactoring via ast-grep MCP

Formal theorem proving with research, testing, and verification phases

Router-First Architecture

Agent Orchestration Rules

Workflow orchestrator that chains existing skills for feature development

Maps questions to the optimal tldr command. Use this to pick the right layer

TDD workflow for migrations - orchestrate agents, zero main context growth

Claude Code CLI commands, flags, headless mode, and automation patterns

Observe Before Editing

Graceful Degradation with Helpful Messages

Validation agent that validates plan tech choices against current best practices

implement_plan — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

implement_task — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

System health check (MOT) for skills, agents, hooks, and memory

AI-powered web search, research, and reasoning via Perplexity

Search Mathlib for lemmas by type signature pattern

Parallel Agent Orchestration

Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination

Migration workflow - research → analyze → plan → implement → review

LLM Tuning Patterns

Idempotent Redundancy

Agentic Workflow Pattern

Guide for integrating Agentica SDK with Claude Code CLI proxy

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

Search past reasoning for relevant decisions and approaches

Analyze brownfield codebase and create initial continuity ledger

Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available

Reference guide for Agentica multi-agent infrastructure APIs

Release preparation workflow - security audit → E2E tests → review → changelog → docs

Create and configure Claude Code sub-agents with custom prompts, tools, and models

Hook Development Rules

Goal-based workflow orchestration - routes tasks to specialist agents based on user goals

Show full session token usage, costs, TLDR savings, and hook activity

Test-driven development workflow with philosophy guide - plan → write tests → implement → validate

OPC Architecture Understanding

Never Use TaskOutput

Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

Research agent for external documentation, best practices, and library APIs via MCP tools

Research-to-implement pipeline chaining 5 MCP tools with graceful degradation

Guide to the math cognitive stack - what tools exist and when to use each

Completion Check: Verify Infrastructure Is Wired

Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound…

Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests

Security audit workflow - vulnerability scan → verification

Wiring Verification

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

Complete Claude Code hooks reference - input/output schemas, registration, testing patterns

Upgrade any skill to v5 Hybrid format using decision theory + modal logic

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

Scrape web pages and extract content via Firecrawl MCP

Friendly onboarding when users ask about capabilities

Index at Creation Time

Background Agent Pings

Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.

Code refactoring workflow - analyze → plan → implement → review → validate

Explicit Identity Across Boundaries

Agent Context Isolation

Git Commit Rules

slash-commands — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.

Resume work from handoff document with context analysis and validation

A complete skill for E2E testing

Document codebase as-is with thoughts directory for historical context

qlty-during-development — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Search Tool Hierarchy

no-polling-agents — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

recall — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Create handoff document for transferring work to another session

Generate comprehensive PR descriptions following repository templates

Planning agent that creates implementation plans and handoffs from conversation context

Search GitHub code, repositories, issues, and PRs via MCP