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Triple-C/container/mission-control/.claude/skills/leg/SKILL.md
Josh Knapp 2dffef0767
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Bundle mission-control into Triple-C instead of cloning from GitHub
The mission-control (Flight Control) project is being closed upstream.
This embeds the project files directly in the repo under container/mission-control/,
bakes them into the Docker image at /opt/mission-control, and copies them into place
at container startup instead of git cloning from GitHub.

Also adds missing osc52-clipboard, audio-shim, and triple-c-sso-refresh to the
programmatic Docker build context in image.rs.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-03 09:09:15 -07:00

5.3 KiB

name, description
name description
leg Generate detailed implementation guidance for LLM execution. Use when creating atomic implementation steps from a flight.

Leg Implementation Guidance

Generate detailed implementation guidance for LLM execution.

Prerequisites

  • Project must be initialized with /init-project (.flightops/ARTIFACTS.md must exist)
  • A flight must exist before creating legs

Workflow

Phase 1: Context Loading

  1. Identify the target project

    • Read projects.md to find the project's path
  2. Verify project is initialized

    • Check if {target-project}/.flightops/ARTIFACTS.md exists
    • If missing: STOP and tell the user to run /init-project first
    • Do not proceed without the artifact configuration
  3. Read the artifact configuration

    • Read {target-project}/.flightops/ARTIFACTS.md for artifact locations and formats
  4. Read the parent flight

    • Understand the objective being achieved
    • Review design decisions and constraints
    • Note the technical approach defined
  5. Read the flight log in detail (critical)

    The flight log captures ground truth from actual implementation. Read it fully and extract:

    • Actual outcomes from completed legs
    • Deviations from the original plan
    • Anomalies discovered during execution
    • Environment details (versions, configurations)
    • Decisions made during implementation
    • Workarounds for issues encountered
  6. Identify this leg's scope

    • Which leg from the flight's leg list?
    • What comes before and after?
    • Dependencies on other legs?
    • How do prior leg outcomes affect this leg?
  7. Identify environment constraints

    • Execution environment (devcontainer, WSL, cloud)?
    • User context (root, specific user)?
    • Environment variables or shell setup needed?
    • Commands inside vs outside containers?

Phase 2: Implementation Analysis

Deep dive into the specific implementation:

  1. Identify exact files to modify

    • Read existing files that will be changed
    • Understand current code structure
    • Note imports, dependencies, patterns
  2. Understand existing patterns

    • How is similar functionality implemented?
    • What conventions does the codebase follow?
    • What testing patterns are used?
  3. Determine inputs and outputs

    • What state exists before this leg?
    • What state must exist after completion?
    • What can the implementing agent assume?
  4. Identify edge cases

    • What could go wrong?
    • What validation is needed?
    • What error handling is required?
    • If this leg modifies database schemas: does it include migration creation AND execution? Both must happen in the same leg — a schema defined but never migrated is a gap.
  5. Identify dependent code (for interface changes)

    • Does this leg modify shared interfaces?
    • What files consume these interfaces?
    • Should updating consumers be part of this leg?
  6. Identify platform considerations

    • Does this leg touch OS-specific features?
    • What platform differences might affect implementation?

Phase 3: Guidance Generation

Create the leg artifact using the format defined in .flightops/ARTIFACTS.md.

Guidelines

Writing Effective Objectives

State exactly what the leg accomplishes:

Weak: "Set up the database stuff"

Strong: "Create the User model with email, password_hash, and timestamp fields"

Acceptance Criteria

Criteria must be:

  • Binary: Either met or not met
  • Observable: Can be verified by inspection or test
  • Complete: Nothing else needed for "done"

Weak: "Code is clean" (subjective)

Strong: "User model exists in prisma/schema.prisma"

Verification Steps

Tell the agent exactly how to confirm each criterion:

Weak: "Make sure it works"

Strong:

## Verification Steps
- Run `npx prisma migrate status` — should show no pending migrations
- Run `npm test` — all tests pass
- Tab through form fields — focus order matches visual order

For accessibility work, include specific checks:

  • Keyboard navigation sequences
  • Screen reader commands to test
  • Automated tool commands (Lighthouse, axe-core)

Implementation Guidance

Be explicit, not implicit:

Implicit: "Add validation to the email field"

Explicit: "Add email validation using the validator library's isEmail function. Return HTTP 400 with { "error": "Invalid email format" } on validation failure."

Code Examples

Provide examples when:

  • The codebase has specific patterns to follow
  • There are multiple valid approaches
  • The implementation isn't obvious from context

Leg Sizing

A well-sized leg:

  • Takes minutes to a few hours
  • Is atomic (can be completed independently)
  • Has clear, verifiable acceptance criteria
  • Produces a working increment

Too small: Single-line change with no meaningful criteria Too large: Would benefit from intermediate checkpoints

Documenting Workarounds

When implementing a workaround, document:

  • What: The workaround clearly
  • Why: Why the ideal solution wasn't feasible
  • When to remove: Condition for replacement

Immutability

Once a leg is in-flight:

  • Do NOT modify the leg document
  • If requirements change, mark it aborted (changes rolled back)
  • Create a new leg with updated requirements

Output

Create the leg artifact using the location and format defined in .flightops/ARTIFACTS.md.