Cache Layer

v1.0.0

Cache layers, TTLs, invalidation, and consistency. Use when speeding reads or debugging stale data.

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Benign
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Benign
high confidence
Purpose & Capability
Name and description match the SKILL.md content: it provides a staged workflow for cache design, implementation, and operation. There are no unrelated permissions, binaries, or env vars requested.
Instruction Scope
Runtime instructions are procedural guidance and questions for the user; they do not instruct the agent to read files, access credentials, call external endpoints, or perform broad system operations.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is written to disk or downloaded during install.
Credentials
The skill requests no environment variables, credentials, or config paths; requested access is proportional (none) to the stated task.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence or elevated privileges beyond normal skill invocation.
Assessment
This skill is a pure guidance/workflow helper and appears safe and coherent with its purpose. Because it is instruction-only, it won't execute code or access secrets by itself — still: review any recommendations before applying them, avoid pasting secrets into prompts, and if you want to prevent autonomous invocation, disable model invocation for this skill in your agent settings.

Like a lobster shell, security has layers — review code before you run it.

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Updated 3w ago
v1.0.0
MIT-0

Cache Layer

Structured guidance for cache layers (TTLs, invalidation, consistency): confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.

When to Offer This Workflow

Trigger conditions:

  • User mentions caching, cache invalidation, or closely related work
  • They want a structured workflow rather than ad-hoc tips
  • They are preparing a review, rollout, or stakeholder communication

Initial offer: Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.

Workflow Stages

Stage 1: Clarify context & goals

Anchor on what to cache and TTL rationale. Ask what success looks like, constraints, and what must not break. Capture unknowns early.

Stage 2: Design or plan the approach

Translate goals into a concrete plan around invalidation patterns. Compare alternatives and explicit trade-offs; avoid implicit assumptions.

Stage 3: Implement, validate, and harden

Execute with verification loops tied to consistency and thundering herds. Prefer small steps, measurable checks, and rollback points where risk is high.

Stage 4: Operate, communicate, and iterate

Close the loop with monitoring hit rate and staleness: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.

Checklist Before Completion

  • Goals and constraints are explicit for cache layers
  • Risks and trade-offs are stated, not hand-waved
  • Verification steps match the change’s impact (tests, canary, peer review)
  • Operational follow-through is covered (monitoring, docs, owners)

Tips for Effective Guidance

  • Be procedural: stage-by-stage, with clear exit criteria
  • Ask for missing context (environment, scale, deadlines) before prescribing
  • Prefer checklists and concrete examples over generic platitudes
  • If the user declines the workflow, switch to freeform help without lecturing

Handling Deviations

  • If the user wants to skip a stage: confirm and continue with what they need.
  • If context is missing: ask targeted questions before strong recommendations.
  • Prefer concrete examples, trade-offs, and verification steps over generic advice.

Quality Bar

  • Each recommendation should be actionable (what to do next).
  • Call out failure modes relevant to cache layers (security, scale, UX, or ops).
  • Keep tone direct and respectful of the user’s time.

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