research-workflow

# Research Workflow Skill ## Overview This skill orchestrates research queries using the optimal workflow based on query type. It integrates: - **Triple Stack**: Context7 (docs) + Exa (code/web) + Jina (web/academic/parallel) - **gigaxity-deep-research**: synthesis engine over any OpenAI-compatible chat-completions endpoint (self-hosted vLLM/SGLang/llama.cpp on the `local-inference` branch, OpenRouter on `main`) - **exa-answer**: speed-critical 1–2 s factual lookups - **brightdata_fallback**: blocked-URL recovery (CAPTCHA / paywall / Cloudflare) - **gptr-mcp**: social-first research over Reddit, X/Twitter, YouTube — wraps [GPT Researcher](https://github.com/assafelovic/gpt-researcher) --- ## Tool Schema Loading (MANDATORY) MCP tool schemas are deferred. Bare `mcp__X__Y(...)` calls fail with `InputValidationError` because the schema isn't loaded. Load schemas first via `ToolSearch`: ``` ToolSearch(query='select:mcp__context7__resolve-library-id,mcp__context7__query-docs') # docs (two-step) ToolSearch(query='select:mcp__exa__web_search_exa,mcp__jina__read_url') # multiple ToolSearch(query='+exa-answer') # keyword (rank by relevance) ``` After `ToolSearch` returns the `<function>...` block for a tool, that tool is callable for the rest of the session — no need to re-load. **Why this matters:** if you skip `ToolSearch` and the bare call fails, the path of least resistance is to fall through to `WebFetch` / `WebSearch` — ...