Audit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.
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Use Claude Code as an independent `claude -p` subagent when the user explicitly asks for Claude, wants a second-agent opinion from Claude, or asks to delegate a well-scoped task to Claude. Supports selecting `--model` and thinking/effort level with defaults of the current `opus` alias and `high`.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Claude Code is an independent agent on PATH (claude), sharing this working
tree and already authenticated. Use it as a second opinion or delegated worker,
not as ground truth: verify its claims, own any changes, and keep its task
contract narrow.
Use claude -p --model opus --effort high unless the user or task calls for a
different model or thinking level. Keep opus as an alias so Claude Code
resolves the current Opus release; do not pin a dated model ID in this skill.
opus, sonnet, or fable, which follow
the current Claude releases. Accept a full model name only when the user or
task requires that specific model, and verify it is current first. Default
opus.--effort flag. Valid levels are
low, medium, high, xhigh, and max. Default high.--max-budget-usd <amount> when
the user gives a budget or the task is likely to sprawl.Example:
claude -p --model opus --effort high "<prompt>"
Prompt Claude like an operator: compact, block-structured, and explicit about the artifact you need. A sharper contract beats higher effort.
<task> — the concrete job, context, and expected end state.<output_contract> — exact response shape, highest-value first.<default_follow_through> — take low-risk interpretations and continue;
stop only when a missing detail changes correctness, safety, or an
irreversible action.<verification_loop> — inspect the result against requirements and revise
before finalizing.<grounding> — ground every claim in code or tool output; label
inferences.<action_safety> — keep the diff tightly scoped; no drive-by refactors.Use Claude for consultation when the user asks for Claude's view or when a second-agent read would materially reduce risk. Keep it read-oriented unless the user explicitly asks it to edit.
--tools "Read,Grep,Glob,Bash" --permission-mode dontAsk.Delegate implementation to Claude only when the user names Claude for the task. Never hand it work on your own initiative, and never re-delegate follow-up work without a fresh ask.
--tools "Read,Grep,Glob,Bash" --permission-mode dontAsk.--dangerously-skip-permissions only in a
dedicated worktree, with a self-authored prompt and a mandatory diff
review after.--output-format text by default. Use
--output-format json only when the caller needs structured metadata.claude -p is a networked, authenticated non-interactive run. If it fails,
classify the failure before retrying.
claude -p says Not logged in, retry once with the
required approval because local auth can depend on keychain/session access.--max-budget-usd or a narrower prompt before raising
effort.-p skips the interactive trust dialog, so run it only from
a repo or worktree you intentionally trust.claude -p --model opus --effort high as the default invocation; keep
the alias unversioned so it follows the current Opus release.--model and --effort.还没有评价。欢迎分享你的使用感受。
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Audit or rewrite AGENTS.md so it holds only lasting principles. Run it only when the user asks for it by name; never invoke it on your own.
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Audit the choices an implementing agent made, not its diff — a pure decision audit that traces the session's history into a choices ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.
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Audit and prioritize performance work through bounded-work and forward-progress checks. Use when asked to find performance issues, investigate freezes/500s/OOMs, review retries or polling for no-progress loops, rank a performance backlog, or implement the next simple performance fixes.
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Audit whether tests earn their maintenance cost and which suite owns each contract. Use when pruning redundant tests, investigating implementation coupling or test-only production hooks, reviewing the value of proposed coverage, or auditing an entire subsystem. Use write-tests to implement the resulting test changes.
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Run fast, progressive experiments to map tunable parameters and their effects. Use when optimizing code, prompts, configurations, or other artifacts against a goal or benchmark, or when a long research run needs a planned hypothesis queue, focused trials, and durable findings.
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Shoot software UI like a film. A sequence of hero shots, each a steep, oblique, extreme close-up of the interface floating in black, with a razor-thin focal plane, a slow motivated camera drift, and UI that acts on its own, hard-cut on the action, ending on one line of copy and a still logo. Use when asked for a launch video, product film, feature trailer, teaser, promo clip, hero shot, or any "cinematic" footage of an app or UI. This skill covers camera, framing, light, and edit. It is stack-agnostic.
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