π―Skills90
Systematically researches, analyzes, plans, implements, and reviews migrations across frameworks, languages, and infrastructure with minimal risk.
Manages git commits by removing Claude attribution, generating reasoning documentation, and ensuring clean commit workflows.
Generates a comprehensive summary of the current system's configuration, components, and key metrics across skills, agents, hooks, and other core systems.
Enables background agent execution with system-triggered progress notifications, avoiding manual polling and context flooding.
Enables seamless integration between Agentica agents and Claude Code CLI by managing proxy configurations, tool permissions, and response formatting.
Systematically diagnose and resolve hook registration, execution, and output issues in Claude Code projects by checking cache, settings, files, and manual testing.
Provides comprehensive reference and infrastructure for building sophisticated multi-agent coordination patterns and workflows with precise API specifications and tracking mechanisms.
Traces and correlates Claude Code session events across parent and sub-agent interactions using comprehensive Braintrust instrumentation.
Provides comprehensive CLI commands and flags for interacting with Claude Code, enabling headless mode, automation, and session management.
Orchestrates complex multi-file implementation tasks by spawning specialized agents that preserve main context and handle intricate development workflows.
Rapidly edits files using AI-powered Morph Apply API with high accuracy and speed, without requiring full file context.
Enforces explicit identity tracking across process and async boundaries to prevent race conditions and ensure precise session correlation.
Retrieves and surfaces relevant past learnings from semantic memory using vector search and contextual matching.
Explores internal codebases at varying depths, providing quick overviews, comprehensive analyses, and architectural insights without modifying code.
Guides users through interactive workspace discovery, revealing available tools, workflows, agents, and hooks to help solve problems efficiently.
Orchestrates multi-stage agents to systematically research, plan, validate, implement, and review complex technical tasks using a structured workflow.
Generates a concise, practical one-sentence description focusing on the core workflow orchestration capability. Description: Orchestrates feature development workflows by chaining skills and guidi...
Isolates agent outputs to prevent context pollution by using file-based coordination and background task management.
Develops and validates Claude Code hooks with comprehensive input/output schemas and registration patterns.
Performs syntax-aware code search and refactoring across multiple languages using AST-based pattern matching.
Explores and analyzes an existing codebase, generating a structured project overview and continuity ledger for quick team onboarding.
Enables custom hook development for intercepting and modifying Claude AI interactions at specific event points in the workflow.
Validates the end-to-end testing workflow for persistence pipeline operations using Bash, Read, and Write tools.
Identifies and reports unused functions and dead code across multiple programming languages for efficient codebase cleanup and refactoring.
implement_plan_micro skill from parcadei/continuous-claude-v3
Helps developers organize Python code into modular, maintainable files by providing guidelines for file size, splitting strategies, and package structure.
Provides evidence-based LLM parameter tuning strategies for theorem proving, code generation, and creative tasks based on research.
graceful-degradation skill from parcadei/continuous-claude-v3
Performs comprehensive health checks on Claude Code components like skills, agents, hooks, and memory system with optional auto-fix capabilities.
slash-commands skill from parcadei/continuous-claude-v3
sub-agents skill from parcadei/continuous-claude-v3
environment-triage skill from parcadei/continuous-claude-v3
mcp-scripts skill from parcadei/continuous-claude-v3
Analyzes Claude Code sessions using Braintrust, revealing tool usage, agent patterns, skill activations, and performance insights.
Manages local Claude proxy setup for Agentica SDK, enabling Python agents to use Claude CLI as an inference backend with precise configuration and startup sequencing.
parallel-agent-contracts skill from parcadei/continuous-claude-v3
firecrawl-scrape skill from parcadei/continuous-claude-v3
no-polling-agents skill from parcadei/continuous-claude-v3
math skill from parcadei/continuous-claude-v3
Prevents context flooding by avoiding TaskOutput and using synchronous Task mode instead.
mcp-chaining skill from parcadei/continuous-claude-v3
idempotent-redundancy skill from parcadei/continuous-claude-v3
repoprompt skill from parcadei/continuous-claude-v3
Routes math intents to precise CLI commands across multiple computational domains with high accuracy and deterministic mapping.
Conducts deep, iterative interviews to transform vague product ideas into detailed, implementable specifications across technical domains.
Executes a single task from a larger implementation plan using test-driven development, creating a detailed handoff document upon completion.
Rapidly searches and edits codebases using WarpGrep, enabling fast pattern matching and file modifications across large projects.
completion-check skill from parcadei/continuous-claude-v3
Orchestrates systematic codebase migration using test-driven development, delegating tasks to specialized agents with zero context growth.
reference-sdk skill from parcadei/continuous-claude-v3
wiring skill from parcadei/continuous-claude-v3
research-agent skill from parcadei/continuous-claude-v3
qlty-during-development skill from parcadei/continuous-claude-v3
index-at-creation skill from parcadei/continuous-claude-v3
search-hierarchy skill from parcadei/continuous-claude-v3
search-tools skill from parcadei/continuous-claude-v3
Runs comprehensive code quality checks, auto-fixes formatting, and calculates metrics across multiple programming languages using qlty CLI.
opc-architecture skill from parcadei/continuous-claude-v3
observe-before-editing skill from parcadei/continuous-claude-v3
research-external skill from parcadei/continuous-claude-v3
prove skill from parcadei/continuous-claude-v3
Implements technical plans from shared plans with comprehensive verification, using direct or agent-based execution modes.
Routes code search queries to the most token-efficient tool based on query type, optimizing search precision and minimizing token consumption.
Upgrades skills to v5 Hybrid format using decision theory and modal logic, leveraging Ragie-backed agents to analyze and formalize skill structures.
Analyzes code structure and dependencies with 95% token efficiency, providing deep insights via multi-layer parsing.
Searches past project sessions to retrieve relevant decisions, approaches, and learnings from previous work contexts.
Performs computational geometry operations like creating, transforming, measuring, and analyzing geometric shapes using Shapely library.
Routes tasks to specialist agents based on user goals, optimizing workflow orchestration and resource allocation.
Creates a structured YAML handoff document to efficiently transfer context and state between Claude Code sessions, minimizing token loss during conversation compaction.
Enables deterministic routing of user intents to specific CLI commands through domain-specific routers, abstracting tool selection and improving intent resolution.
Systematically identifies potential project failure modes through structured risk analysis and verification before implementation.
Searches 3000+ package documentation and code examples across npm, PyPI, Crates, and Go registries using semantic and regex-based queries.
Generates a comprehensive, structured description of a GitHub pull request by analyzing its code changes, commit messages, and context.
pint-compute skill from parcadei/continuous-claude-v3
loogle-search skill from parcadei/continuous-claude-v3
Claude Validate Agent Status: [PASS/PARTIAL/FAIL] Confidence: [High/Medium/Low] Validated Choices: 1. [Choice 1]: [VALID/OUTDATED/etc] - Reasoning: [Brief explanation] - Recommendation: [Opt...
Systematically analyzes repository structure, documentation, and patterns to provide comprehensive insights into project conventions, architecture, and best practices.
tldr-router skill from parcadei/continuous-claude-v3
resume-handoff skill from parcadei/continuous-claude-v3
Orchestrates complex task decomposition by breaking down high-level goals into structured, sequential steps and generating adaptive execution plans for multi-agent workflows.
tour skill from parcadei/continuous-claude-v3
Generates a comprehensive 5-layer code analysis for a specific function, revealing its structure, call graph, control flow, data flow, and dependencies.
Spawns multi-agent patterns like swarm, hierarchical, generator/critic, and jury for complex task execution and analysis.
Transforms session learnings into permanent, compounding capabilities by extracting, consolidating, and converting patterns into skills and rules.
Generates precise, context-aware prompts for multi-agent AI systems to reduce instruction ambiguity and improve task reliability.
Enables building flexible Python AI agents with decorators, tool integration, multi-agent coordination, and dynamic function invocation.
Searches GitHub for code, repositories, issues, and pull requests using flexible query parameters and GitHub search syntax.
Tracks and records the progression of learning, context, and decision-making across multiple Claude Code sessions to maintain persistent system intelligence and memory.
Generates concise, structured summaries of complex documents or code repositories, highlighting key insights and architectural patterns
Generates a detailed dashboard showing token usage, API costs, TLDR savings, and hook activity for Claude sessions.