blindspot

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Use when the user asks for a blindspot pass or to find their unknown unknowns, or signals unfamiliarity with a domain, tool, or codebase area ("never used X", "first time doing Y", "no idea where to start", "don't know what I don't know") before working there. Turns unknown unknowns into known unknowns so the user can prompt well

AI & Automation 129 stars 25 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Blindspot The user is about to work in territory they don't know. They may not know what questions to ask, what good looks like, what prior art exists, or which potholes are waiting. Survey the territory for them, then hand back a map they can prompt with. This is not a tutorial (teach the minimum needed to prompt well) and not a plan (that comes after, from the sharpened prompt). ## Workflow ### 1. Calibrate If the invocation doesn't already say, ask one `AskUserQuestion` round covering: what they're trying to do, and their familiarity with the involved domain, tool, or codebase area. Skip this step entirely when their prompt already answers both. Never stretch calibration into a full interview (that's the grilling skill's job). ### 2. Survey the territory Ground everything in current sources, not training data: - **Repo prior art**: search the codebase for existing patterns, conventions, and adjacent solutions. Use an Explore agent for broad sweeps. - **Tools and libraries**: invoke `find-docs` for current APIs and config. Add a `WebSearch` for pitfalls ("X gotchas", "X common mistakes"): pitfalls live in issue threads and post-mortems, not getting-started docs. For terrain dominated by one tool's setup choices, delegate the sweep to the `best-practices` skill instead. It covers both halves with parallel subagents. - **Non-code domains** (design, audio, infra concepts): `WebSearch` for how practitioners judge quality in this domain. ### 3. Terrain briefing Repor...

Details

Author
vinta
Repository
vinta/hal-9000
Created
10 years ago
Last Updated
today
Language
Python
License
MIT

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