AGENT SKILL

blindspot-pass

Discover unknowns before expensive work. Use before ambiguous or risky product, architecture, UX, operations, billing, onboarding, data, migration, launch, or go-to-market work; when the user asks for a blindspot pass, unknown unknowns, ambiguity review, assumption check, or better agent prompt; or when an agent needs to clarify assumptions before implementation.

License 许可
MIT
最近更新
2026-09-20
Stars
★ 4
Forks
0

01 前言 Front Matter

name
blindspot-pass
description
Discover unknowns before expensive work. Use before ambiguous or risky product, architecture, UX, operations, billing, onboarding, data, migration, launch, or go-to-market work; when the user asks for a blindspot pass, unknown unknowns, ambiguity review, assumption check, or better agent prompt; or when an agent needs to clarify assumptions before implementation.

03 SKILL.md 正文

Blindspot Pass

Use this skill to shrink ambiguity before code, plans, PRDs, launches, migrations, or operator/user-facing changes. The goal is not to ask every possible question. The goal is to find the few unknowns that would make the current path wrong.

Rules

  • Read the territory before theorizing: repo docs, code, tests, notes, business context, and current behavior where relevant.
  • Prefer evidence over generic best practice.
  • Do not edit product code during a blindspot pass unless the user explicitly asks you to continue into implementation.
  • Ask only questions the repo/context cannot answer and where the answer changes scope, architecture, UX, sequencing, risk, or success criteria.
  • Include a recommended default with each question.
  • Split independent surfaces across subagents when the work is large and subagents are available.
  • Keep output concise. This is a decision aid, not a research report.

Context Anchors

Check these sources before making recommendations when they exist:

  • Repo operating docs: AGENTS.md, README.md, SKILLS.md, nearest area docs.
  • Persistent context: brain/index.md, memory/, docs/, ADRs, specs, PRDs, plans, runbooks.
  • Product/UX context: personas, user-model docs, onboarding docs, admin/operator docs, analytics definitions.
  • Code context: affected flows, tests, migrations, schemas, feature flags, provider integrations.
  • External constraints only when necessary: vendor docs, legal/security rules, platform limits, pricing, dates.

Use repo-specific assumptions only when backed by docs or prior context. Otherwise mark them as assumptions.

Workflow

  1. Re-anchor

    • Restate the goal and success criteria in one or two lines.
    • Name the surface: product, code, UX, ops, GTM, data, migration, personal workflow, or mixed.
    • Identify which docs/code/context you will inspect.
  2. Map the territory

    • Inspect current files, flows, docs, tests, metrics definitions, provider constraints, or operating process.
    • Note facts with file paths or source names where possible.
    • Separate current behavior from intended behavior.
  3. Classify unknowns

    • Known knowns: Prompt or repo clearly says this.
    • Known unknowns: Open decisions already visible.
    • Unknown knowns: Implicit expectations the user may recognize only when shown, especially taste, ops habits, customer language, launch posture, or "obvious" assumptions.
    • Unknown unknowns: Likely hidden risks, missing constraints, edge cases, stale docs, untested paths, or places an agent would probably guess wrong.
  4. Rank by decision impact

    • High: changes architecture, data model, migration lane, entitlement behavior, checkout, provider integration, security/privacy, ops workflow, or customer-facing promise.
    • Medium: changes UX flow, copy, instrumentation, test strategy, sequencing, rollout, or support burden.
    • Low: can be handled conservatively during implementation.
  5. Recommend next move

    • Proceed: enough clarity; give a small implementation plan.
    • Prototype: create a cheap mock/probe before real wiring.
    • Investigate: send agents into specific files/flows/tests.
    • Interview: ask the smallest set of high-impact questions.
    • De-scope: narrow the task before implementation.

Output Shape

**Blindspot Pass**
Goal: ...
Surface: ...

**What I Verified**
- ...

**Unknowns**
- High: ...
- Medium: ...
- Low: ...

**Questions That Change The Work**
1. ... Recommended default: ...

**Recommended Next Move**
...

**Agent Prompts**
- ...

During Implementation

If the user asks you to continue after the blindspot pass, keep brief notes for non-trivial work in the repo's scratch/context area, such as .context/implementation-notes.md, when available. Log only meaningful assumptions, deviations, and follow-ups. Do not turn it into a narrative diary.

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