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/octocode-prompt-optimizer

Use when an agent prompt, skill, tool schema, policy, or handoff needs to get clearer, safer, easier to trigger, cheaper in context, or measurable against real behavior.

From plugin
octocode
90415 skills
Install
$ npx -y skills add bgauryy/octocode-mcp --skill octocode-prompt-optimizer --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/octocode-prompt-optimizer

Context preview

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

Use when an agent prompt, skill, tool schema, policy, or handoff needs to get clearer, safer, easier to trigger, cheaper in context, or measurable against real behavior.

SKILL.md

octocode-prompt-optimizer.SKILL.md
name: octocode-prompt-optimizer
description: "Use when an agent prompt, skill, tool schema, policy, or handoff needs to get clearer, safer, easier to trigger, cheaper in context, or measurable against real behavior."

Octocode Prompt Optimizer

Optimize instruction behavior, not prose aesthetics. Flow: `READ → UNDERSTAND → RATE → FIX → VALIDATE → OUTPUT`.

Lobby rules and gates

  • READ: inspect the whole input and its type; UNDERSTAND: map goal, parts, flow, assumptions, and unknowns.
  • RATE: record evidenced issues, severity, and baseline; FIX: address Critical/High issues and name deliberate deferrals.
  • VALIDATE: prove intent and required behavior remain correct; OUTPUT: provide the requested artifact and truthful delta.
  • Use the full path for multi-section, ambiguous, tool-facing, or high-risk work; combine adjacent steps only for short, low-risk text. Never skip validation.
  • Preserve intent, working branches, identifiers, commands, and required metadata; ask before changing them.
  • Verify cited commands, flags, paths, tool names, and schemas before rewriting; flag unverified claims.
  • Make only critical behavior mandatory; retain preference language for real preferences. Mutate files only with authority.

Smart routes — load only what the current step needs

  • During the core path, load only the active gate: `references/gates.md`, `references/rate.md`, `references/fix.md`, `references/validate.md`, or `references/output.md` — prevent later-step advice from biasing the current decision.
  • When reducing noise, load `references/conciseness-toolkit.md`; when fixing priority/hierarchy load `references/attention.md`; when choosing reusable structures load `references/patterns.md` or `references/prompt-techniques.md` — match technique to failure mechanism.
  • When optimizing tool or MCP contracts, load `references/tool-contracts.md`; for agent handoffs load `references/agent-communication.md`; for typed packet boundaries load `references/zod-agent-contracts.md` — make inputs, outputs, authority, and failure states explicit.
  • When context can overflow, load `references/context-budget.md`; when repeated calls share stable prefixes load `references/prompt-caching.md` — control relevance, pagination, latency, and cost.
  • When reliability must be measured, load `references/evaluation-data.md` — build realistic held-out scenarios, verifiers, metrics, and a failure ledger.
  • When instructions consume retrieved or user-supplied content, load `references/untrusted-content.md` — preserve the boundary between data and authority.
  • When improving this skill, prefer `octocode-graph-eval`; otherwise load `references/improve-loop.md` — require measurable acceptance instead of intuition.

Related routes

  • Use `octocode-skills` for skill-folder architecture/review; `octocode-research` to verify cited contracts; `octocode-graph-eval` for held-out behavior.
  • Use `octocode-subagent` for delegation topology; `octocode-awareness` for coordinated instruction-file edits.
Read more
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Evidence-first code research for AI agents and developers. Octocode researches your local code and external code alike (GitHub repos, PRs, npm) with one toolset: ripgrep + AST search, trees, precise reads, and LSP.

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