mikeng-io
- 21 skills
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- 6 hours ago last updated
- ▌ Context · mikeng-io bundleAnalyze conversation context to classify what is being discussed, detect relevant domains from domain-registry, and determine optimal routing (parallel-workflow vs debate-protocol vs deep-council). Can be invoked directly or called by other skills as a pre-flight step.
- ▌ Deepwiki · mikeng-ioOptional codebase intelligence skill — wraps Devin's DeepWiki MCP server to provide structured documentation lookup, topic discovery, and natural-language Q&A about any GitHub repository indexed by Devin. Supports public and private repositories (private requires Devin API key). Falls back gracefully to Glob/Grep/Read + QMD if not configured. Invokable standalone or called by other skills as a data source.
- ▌ Preflight · mikeng-ioLightweight scope clarifier. Invoked by deep-* skills when conversation context is too sparse to determine what to analyze. Asks 1–3 targeted questions one at a time, then returns a structured scope_clarification block for the calling skill to use. Adapted from superpowers brainstorming skill (https://github.com/obra/superpowers) — same principle of asking before acting, scoped to review/analysis intent rather than feature design.
- ▌ Deep Audit · mikeng-io bundleMulti-agent standards and compliance auditing with pass/fail verdicts. Checks against security, accessibility, code standards, regulatory requirements, and performance benchmarks.
- ▌ Perplexity · mikeng-ioOptional AI-synthesized web search via Perplexity MCP. Returns AI-grounded answers with inline citations rather than raw search results — best for synthesis-heavy questions, current consensus queries, and cross-validation of research findings. Non-blocking — falls back to other search tools if unavailable.
- ▌ Deep Review · mikeng-io bundleMulti-agent quality improvement review with constructive feedback. Provides suggestions for best practices, code quality, alternatives, and performance optimization.
- ▌ Deep Verify · mikeng-io bundleGeneric multi-agent verification framework with balanced expert analysis. Model-agnostic and domain-agnostic - verify any work through expert analysis.
- ▌ Brave Search · mikeng-ioOptional web search enrichment via Brave Search MCP. Provides web, news, and local search with an independent index (no Google dependency). Invokable standalone or called by deep-research, deep-explorer, or any skill needing web search. Non-blocking — falls back to other search tools if unavailable.
- ▌ Bridge Codex · mikeng-io bundleReference adapter for Codex multi-agent review. Read by any orchestrating skill via the Read tool. MCP server path (preferred) with auto-setup option, CLI path as fallback, interactive pre-flight advisory when not configured, correct flags embedded. Usable by deep-council, deep-review, deep-audit, or any future skill that needs Codex-based review.
- ▌ Deep Council · mikeng-io bundleCouncil-of-councils orchestrator. Dispatches discovery-first packets to bridge adapters (Claude, Gemini, Codex, OpenCode), each of which runs a local Agent/Model/Runtime Council, then performs cross-council debate using debate-protocol. Supports review, audit, research, and brainstorm/design modes.
- ▌ Agent Council · mikeng-io bundleRole-diverse local council. Dispatches multiple expert roles (Devil's Advocate, Integration Checker, Domain Experts, Synthesis Lead) within one runtime/model family to review, audit, or brainstorm. Complements Model Council, Runtime Council, and Deep Council; use when role diversity and local adversarial debate are needed.
- ▌ Bridge Claude · mikeng-io bundleReference adapter for Claude (Anthropic) dispatch. Read by any orchestrating skill via the Read tool. Defines how to invoke Claude sub-agents or the Anthropic API, with availability checks. Usable by any AI orchestrator — Claude Code, OpenCode, Codex, Gemini, or custom agents.
- ▌ Bridge Gemini · mikeng-io bundleReference adapter for Gemini CLI. Read by any orchestrating skill via the Read tool. Defines how to invoke Gemini CLI in non-interactive mode, timeout estimation, and fallback behavior. Usable by deep-council, deep-review, deep-audit, or any future skill that needs Gemini-based review.
- ▌ Deep Explorer · mikeng-io bundleGit-based codebase exploration with delta analysis. Performs full exploration on first run, then incremental delta exploration tracking committed and uncommitted changes.
- ▌ Deep Research · mikeng-io bundleGeneric multi-domain research framework with domain-aware scheduling. Model-agnostic and domain-agnostic - perform comprehensive research on any topic.
- ▌ Bridge Commons · mikeng-io bundleShared contract for all bridge adapters — pre-flight SOP, standardized input/output schemas, artifact format, and status semantics. Read by any bridge or orchestrating skill. Not invocable standalone.
- ▌ Bridge Opencode · mikeng-io bundleReference adapter for OpenCode — model-agnostic multi-provider bridge. Read by any orchestrating skill via the Read tool. Covers pre-flight checks with interactive advisory, HTTP API server path (preferred), CLI run path as fallback, correct flags and model format embedded. Usable by deep-council, deep-review, deep-audit, or any future skill that needs multi-model review.
- ▌ Debate Protocol · mikeng-io bundleGeneric structured adversarial protocol for review, audit, research synthesis, and brainstorm/design councils. Supports finding validation plus proposal brainstorming lifecycles, packetized exchanges, and auditable manifests for nested councils.
- ▌ Domain Registry · mikeng-io bundleReference library of domain definitions used by deep-* skills to select appropriate expert agents. Not invocable standalone — read via the Read tool by context, deep-audit, deep-verify, deep-review, deep-research, deep-explorer, and deep-council.
- ▌ Council Taxonomy · mikeng-ioShared vocabulary for Agent Council, Model Council, Runtime Council, and Deep Council. Use before designing or invoking council workflows so role, model, runtime/toolchain, and debate-layer diversity are not conflated.
- ▌ Parallel Workflow · mikeng-io bundleUse when executing multiple tasks with dependencies - automatically determines optimal parallel execution order while respecting task dependencies through DAG scheduling