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/blindspot-pass

Inspect history and architecture for hidden constraints before risky cross-cutting changes.

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my-ai-tools
12440 skills16 agents10 commands
Install
$ npx -y skills add jellydn/my-ai-tools --skill blindspot-pass --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/blindspot-pass

Context preview

The summary Claude sees to decide when to auto-load this skill.

Inspect history and architecture for hidden constraints before risky cross-cutting changes.

SKILL.md

blindspot-pass.SKILL.md
name: "blindspot-pass"
description: "Inspect history and architecture for hidden constraints before risky cross-cutting changes."
license: "MIT"
compatibility: "cline, claude, opencode, amp, codex, gemini, cursor, pi"
hint: "Use before starting complex or unfamiliar work to identify hidden issues"
user-invocable: true

Blind Spot Pass

When to Use

Use this skill **before starting implementation** when:

  • Working on an unfamiliar part of the codebase
  • Integrating with systems you don't fully understand
  • The task has high stakes or complexity
  • You sense there might be hidden gotchas

What It Does

A blind spot pass helps identify **unknown unknowns** that could derail implementation or lead to poor architectural decisions.

How to Execute

Step 1: Define Scope

Clearly state what you're about to work on:

  • Feature or change description
  • Affected modules/systems
  • Current understanding level

Step 2: Search for Context

Look in multiple places for relevant history:

# Recent changes to related files
git log --oneline --all -20 -- path/to/module/

# Search commit messages for keywords
git log --all --grep="auth\|oauth\|provider" --oneline

# Find related discussions in code comments
rg -i "TODO|FIXME|HACK|XXX" path/to/module/

# Search for error handling patterns
rg "catch|throw|error" path/to/module/ -A 3

Step 3: Identify Gotchas

Document findings in categories:

**Technical Gotchas**:

  • Edge cases in existing code
  • Performance considerations
  • Error handling patterns
  • Testing requirements

**Architectural Gotchas**:

  • Existing abstractions to follow
  • Integration points
  • Data flow patterns
  • State management approaches

**Business Gotchas**:

  • Implicit requirements from past discussions
  • Feature flags or phased rollouts
  • Backward compatibility needs
  • Security or compliance requirements

Step 4: Surface Questions

Generate questions that would change the approach:

  • "I see error handling uses X pattern; should I follow it?"
  • "There's a feature flag system; does this need one?"
  • "Previous auth work had Y consideration; does that apply here?"

Step 5: Present Findings

Format as a structured report:

## Blind Spot Analysis: [Task Name]

### Context Sources Checked
- [x] Git history (last 3 months, 45 commits in auth/)
- [x] Code comments and TODOs (found 3 relevant)
- [x] Error handling patterns (uses Result type)
- [x] Test coverage (integration tests in /tests/auth/)

### Key Findings

**Architectural Patterns**:
- All auth providers extend BaseOAuthProvider
- Must implement 3 lifecycle hooks: init, authenticate, refresh
- Config validation happens at provider registration

**Known Gotchas**:
- GitHub OAuth requires app installation per org (not per user)
- Refresh tokens expire after 6 months of inactivity
- Rate limiting uses Redis; need to handle connection failures

**Testing Requirements**:
- Mock responses in tests/fixtures/oauth/
- Integration tests use test credentials from .env.test
- Must test token refresh flow explicitly

### Questions Before Proceeding

1. Should GitHub provider support org-level installation?
2. How should we handle rate limit failures? (retry? user error?)
3. Is there a preferred library for GitHub OAuth, or implement from scratch?

### Recommended Approach

[Brief recommendation based on findings]

Example Usage

User: "I need to add Stripe payment integration to our checkout flow"

Agent: "Let me do a blind spot pass first to identify unknowns."

[Agent searches codebase, git history, finds existing payment integrations]

Agent: "Blind Spot Analysis: Stripe Integration

Context Sources Checked:
- Git history: Found previous PayPal integration (6 months ago)
- Existing code: Braintree integration in /payments/providers/
- Tests: Payment integration tests use VCR for API mocking

Key Findings:

Architectural Patterns:
- All payment providers implement PaymentProvider interface
- Webhook handling is centralized in /webhooks/payment-events
- PCI compliance: Never store card numbers, only Stripe tokens

Known Gotchas:
- Must implement idempotency keys for all charge operations
- Webhook signature verification required (security requirement)
- Stripe test mode uses different API keys from .env.stripe.test
- Currency handling: Store amounts as integers (cents) not floats

Testing Requirements:
- Use Stripe test fixtures (don't call real API in tests)
- Must test webhook verification with valid and invalid signatures
- Cover 3 main flows: successful charge, declined card, network error

Questions Before Proceeding:

1. Should we support Stripe Connect (for marketplaces) or just direct charges?
2. Do we need recurring billing support, or one-time payments only?
3. Should failed charges retry automatically, or require user action?
4. What currency/currencies do we need to support?

Recommended Approach:
Based on the PayPal integration pattern, implement as a plugin in
/payments/providers/stripe/ with webhook handler in /webhooks/stripe/.
Follow idempotency pattern from Braintree integration.
"

Best Practices

1. **Search broadly first**: Git history, code, comments, tests, documentation 2. **Look for patterns**: What did previous similar work do? 3. **Find the gotchas**: Search for error handling, TODOs, FIXMEs 4. **Generate good questions**: Focus on architecture-changing decisions 5. **Provide recommendations**: Synthesize findings into an approach

Integration with Other Skills

  • **Before**: Define task scope
  • **After Blind Spot Pass**: Run interview skill if major unknowns remain
  • **During Implementation**: Use implementation-logger to track deviations
  • **After Implementation**: Use quiz-me to verify understanding

Common Pitfalls

  • **Too narrow**: Only checking files you'll edit (check dependencies too)
  • **Too shallow**: Only reading current code (check git history for context)
  • **No questions**: Findings without questions don't guide next steps
  • **No
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