Skillforge Cinematic Upgrade

Plan premium motion and UI polish upgrades without mutating code prematurely.

install
source · Clone the upstream repo
git clone https://github.com/jamiojala/skillforge
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jamiojala/skillforge "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cinematic-upgrade" ~/.claude/skills/jamiojala-skillforge-cinematic-upgrade && rm -rf "$T"
manifest: skills/cinematic-upgrade/SKILL.md
source content

Cinematic Upgrade

Plan premium motion and UI polish upgrades without mutating code prematurely.

Source: Advanced first-party pack

Use this skill when

  • The request signals
    cinematic
    or a directly related problem.
  • The request signals
    motion
    or a directly related problem.
  • The request signals
    premium
    or a directly related problem.
  • The request signals
    polish
    or a directly related problem.
  • The request signals
    upgrade
    or a directly related problem.

Gather this context first

  • Relevant files, modules, or specs that define the current surface.
  • Constraints, rollout limits, or non-goals that change the recommendation.
  • What success looks like for the user, operator, or release owner.

Recommended workflow

  1. Confirm the trigger fit and boundaries before expanding scope.
  2. Identify the highest-risk files, interfaces, or decision points first.
  3. Produce a bounded plan or implementation slice with exact targets.
  4. Run the listed validation hooks or explain what blocks them.
  5. Return rollout, fallback, and open-question notes for the next agent or maintainer.

Output contract

  • Capability summary and why this skill fits the request.
  • Concrete file, module, or artifact targets.
  • Validation plan and residual risk notes.

Failure modes to watch

  • The pack matches the theme of the request but not the highest-leverage failure domain.
  • Validation is mentioned without enough proof for another operator or agent to repeat it.
  • The output becomes generic advice instead of a bounded next-step plan.
  • Operator-facing surfaces become more polished but less legible under pressure.
  • High-variance visual ideas land without an evaluation path for trust or clarity.

Operational notes

  • State the smallest safe slice that can be executed or reviewed next.
  • Leave enough evidence behind that another maintainer can continue without re-deriving the workflow.
  • Call out where human review or approval changes the recommended path.
  • Verify operator-critical states such as loading, waiting, approval, and failure before polish.
  • Keep accessibility and motion budgets explicit in the review surface.

Dependency and composition notes

  • Let this pack lead only when it owns the main bottleneck; otherwise treat it as a specialist sidecar.
  • If another pack has a narrower, more concrete surface, hand off with explicit files, risks, and validation goals.
  • Pairs well with orchestration and docs packs when operator trust depends on the UI shell.

Validation hooks

  • audit_design_compliance
  • verify_text_unchanged

Model chain

  • moonshotai/kimi-k2.5
  • gemini-2.5-pro
  • qwen3-coder:480b-cloud

Pack contents

  • SKILL.md
    for portable agent-skill usage
  • skill.yaml
    for runtime registry loading
  • README.md
    for human install and review context
  • marketplace.yaml
    for richer metadata and catalog indexing