research
Internal skill. Synthesis guidance loaded via SKILL_HINTS by planner and bug-investigator when research files are available.
What this skill does
# Research Synthesis Guidance ## Overview This skill is loaded via SKILL_HINTS by `cc10x:planner` and `cc10x:bug-investigator` when the router passes research files in the prompt. It provides instructions for synthesizing web and GitHub research findings. **This skill does NOT execute research.** Research execution is done by: - `cc10x:web-researcher` — prefers Bright Data, falls back to WebSearch/WebFetch - `cc10x:github-researcher` — prefers Octocode MCP, falls back to package/docs/GitHub web research ## Synthesis Goal After the router passes research file paths in your prompt, read the available files and produce a synthesis that: 1. Answers the knowledge gap (the `Reason` field from your prompt) 2. Identifies the top 2-3 actionable patterns 3. Lists gotchas with solutions 4. Provides specific references for debugging 5. Reflects evidence quality honestly 6. States the single finding that most changed the recommendation ## What Makes Good Synthesis **Include:** - Cross-source confirmation (when web + GitHub agree on a pattern, it's reliable) - Conflict resolution (when sources disagree, prefer GitHub real code over docs) - Confidence calibration from the router-provided `## Research Quality` block - Source conflict resolution: high-confidence sources (cross-confirmed, code-backed) override low-confidence (single blog, no code). Partial matches (one strong source only) require adaptation — state the adaptation rationale explicitly. - Gotchas the user probably hasn't considered - Specific code snippets only when they materially change the recommendation **Exclude:** - Raw dump of all findings (summarize) - Obvious things the AI already knows - Findings not relevant to the specific `Reason` for research ## Synthesis Format ```markdown ## Evidence Quality - Web: [high / medium / low / none] - GitHub: [high / medium / low / none] - Overall confidence: [high / medium / low] ## Web Findings [3-5 bullets from web research. Focus on patterns and gotchas.] ## GitHub Findings [3-5 bullets from GitHub. Focus on real implementation patterns.] ## Synthesis **Knowledge Gap answered:** [One sentence: what we now know that we didn't before] **Recommended approach:** [1-3 sentences: what to do] **What changed the recommendation most:** [single sentence] **Top patterns to apply:** 1. [Specific, actionable pattern] 2. [Specific, actionable pattern] **Gotchas to avoid:** - [Gotcha]: [Solution] **References for debugging:** - [URL or GitHub repo path] ``` ## Handling Partial Research If web researcher returned `[Web phase unavailable]`: - Note it in the synthesis header: "Web research unavailable — GitHub only" - Do not fabricate web findings - Reduce confidence in synthesis accordingly If GitHub researcher returned `[GitHub phase unavailable]`: - Note it in the synthesis header: "GitHub research unavailable — Web only" - Use web findings only for synthesis If BOTH unavailable: - State clearly: "Research unavailable — all sources down. Proceeding with AI knowledge only." - Lower confidence and rely on repo-local evidence first. Quality weighting: - `high`: multiple concrete sources or code-backed findings - `medium`: one strong source or partial cross-confirmation - `low`: indirect, sparse, or web-only/package-only signals - `none`: no usable external findings ## Memory Output Do not edit `.cc10x/v10/*.md` directly from this skill or from the host agent. Instead, surface the most durable takeaway through the host agent's `MEMORY_NOTES`, for example: - one research-backed gotcha worth preserving - one reference path worth indexing - one confidence caveat if research quality was degraded
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