
Claude Skills by thedixitjain
github.com/thedixitjainAgent skill for project-board-sync - invoke with $agent-project-board-sync
中文项目总控技能。用于产品开发、软件项目、长期计划、任务拆分、阶段规划、项目真相源维护、多个任务防分叉管理。触发语包括\"进入总控模式\"\"帮我规划项目\"\"拆任务\"\"建立 PROJECT.md\"\"管理任务队列\"\"产品开发任务\"。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
Agent skill for pseudocode - invoke with $agent-pseudocode
Agent skill for queen-coordinator - invoke with $agent-queen-coordinator
Agent skill for quorum-manager - invoke with $agent-quorum-manager
Agent skill for raft-manager - invoke with $agent-raft-manager
> MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 15 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). ...
Agent skill for refinement - invoke with $agent-refinement
Agent skill for release-manager - invoke with $agent-release-manager
Agent skill for release-swarm - invoke with $agent-release-swarm
Agent skill for repo-architect - invoke with $agent-repo-architect
One-click initialization of a multi-agent repository from the RepoBrain template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including MCP toggle, swarm preference context, sandbox type, and optional git init. LLM configuration is handled later by rb-setup.
Agent skill for researcher - invoke with $agent-researcher
Agent skill for resource-allocator - invoke with $agent-resource-allocator
Agent skill for reviewer - invoke with $agent-reviewer
| Generate a local repository risk receipt before Claude Code or other AI-agent edits. Use when the user asks to prepare a repository for agent changes, check for risky hooks or credential-writing automation, or run the /agent-preflight command. Trigger with \"run agent preflight\", \"check this repo before agent edits\", or \"/agent-preflight\".
Agent skill for safla-neural - invoke with $agent-safla-neural
Agent skill for sandbox - invoke with $agent-sandbox
Agent skill for scout-explorer - invoke with $agent-scout-explorer
Agent skill for security-manager - invoke with $agent-security-manager
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
>- Create cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, tr...
Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit,...
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查,为特定仓库构建基于证据的 ECC 安装计划,将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。
並行リポジトリ対応のレビューパスを使用して、スキル、コマンド、ルール、フック、エクストラを DAILY と LIBRARY のバケットに分類することで、特定のリポジトリ向けのエビデンスに基づいた ECC インストール計画を構築します。プロジェクトが完全なバンドルをロードする代わりに実際に必要なものに ECC をトリミングする必要がある場合に使用します。
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Agent skill for sparc-coordinator - invoke with $agent-sparc-coordinator
Agent skill for spec-mobile-react-native - invoke with $agent-spec-mobile-react-native
Agent skill for specification - invoke with $agent-specification
Main agent orchestrator that coordinates a specialized squad of agents
| Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: Generating SHA-256 integrity manifests for agent plugins or tool packages Verifying that installed plugins match their published manifests Detecting tampered, modified, or untracked files in agent tool directories Auditing dependency pinning and version policies for agent components Building provenance chains for agent plugin promotion (dev → staging → production) Any request like \"verify plug...
Agent skill for swarm-issue - invoke with $agent-swarm-issue
Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
Agent skill for swarm-pr - invoke with $agent-swarm-pr
Agent skill for swarm - invoke with $agent-swarm
Agent skill for sync-coordinator - invoke with $agent-sync-coordinator
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
Agent skill for test-long-runner - invoke with $agent-test-long-runner
Agent skill for tester - invoke with $agent-tester
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
Agent skill for topology-optimizer - invoke with $agent-topology-optimizer
Agent skill for trading-predictor - invoke with $agent-trading-predictor
Agent skill for user-tools - invoke with $agent-user-tools
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer