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ia-meta-prompting

作者 Ilia Alshanetsky · GitHub ↗ · v3.0.4 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install compound-eng-meta-prompting
功能描述
Structured reasoning modifiers (/think, /verify, /adversarial, /edge, /confidence, /assumptions, etc.) to stress-test decisions, surface assumptions, or enum...
使用说明 (SKILL.md)

Meta-Prompting

Enhanced reasoning via /commands or natural language. Commands combine left-to-right: /verify /adversarial. Auto-trigger when context warrants -- note which pattern applied. Output: apply the pattern inline, then mark the result (e.g., VERIFIED ANSWER:, REVISED ANSWER:, confidence tier).

Patterns

/think | /show -- Show reasoning step-by-step: decision points, alternatives considered, why each accepted/rejected. With /think doubt: after each step, flag what could be wrong and why before proceeding.

/adversarial | /argue -- After answering, steelman the opposing case. 3 strongest counterarguments ranked by severity. Identify blind spots and unstated assumptions.

/constrain | /strict -- Tight constraints: 3 sentences max, cite sources, no hedging. Override inline: /constrain 5 sentences.

/json | /format -- Respond in valid JSON code block, no surrounding prose unless asked. Default schema:

{"analysis": "string", "confidence_score": 85, "methodology": "string", "limitations": ["string"]}

Custom keys: /json {keys: summary, risks, recommendation}

/budget | /deep -- Extended thinking space (~500 words) showing dead ends and reasoning pivots, then clearly separated final answer.

/compare | /vs -- Compare options as table. Default dimensions: speed, accuracy, cost, complexity, maintenance. Custom: /compare [dim1, dim2].

/confidence | /conf -- Rate each claim 0-100. Flag below 70 as SPECULATIVE. Group by tier: HIGH (85+), MEDIUM (70-84), LOW (\x3C70). Include assumptions made and rate each 1-10 on confidence.

/edge | /break -- 5+ inputs/scenarios that break the approach. Code: null/empty, concurrency, overflow, encoding, auth bypass. Strategies: market conditions, timing, dependencies. Auto-triggers on: security, validation, parsing contexts.

/verify-think | /check -- Three phases: (1) Answer direct response, (2) Challenge 3 ways it could be wrong, (3) Verify investigate each, update if needed. Mark final as VERIFIED ANSWER: or REVISED ANSWER:. Distinct from the /ia-verify slash command, which runs the full pre-PR verification pipeline. Auto-triggers on: architecture decisions, critical choices, "Am I right?"

/flip | /alt -- Identify the approach you'd take by default and state it. Then propose an alternative that uses a different mechanism (different data structure, different layer, different abstraction). State the conditions under which the alternative beats the default. Override: /flip 3 for top 3 alternatives. Auto-triggers on: architecture decisions where the "easy" answer may break at scale.

/assumptions | /presume -- Before answering, list every implicit assumption in the question/task. Then answer with assumptions explicit. The assumption list is often more valuable than the answer. Auto-triggers on: architecture reviews, ambiguous requirements.

/premortem | /postmortem -- Assume the decision/project has already failed. Work backwards: what caused the failure? List 3-5 failure modes by likelihood. Focus on systemic risks, not edge cases.

/tensions | /perspectives -- Answer from two named opposing perspectives (e.g., security engineer vs. shipping PM). Focus output on where they disagree -- that's where the real insight lives. Override roles: /tensions [devops, security].

Combos

/analyze = /think + /edge + /verify-think -- Code reviews, architecture, security-sensitive work. Synthesize findings into a unified recommendation -- don't just concatenate pattern outputs. Auto-triggers on: code review requests.

/trade = /confidence + /adversarial + /edge -- Trade ideas, position analysis, market thesis. Auto-triggers on: trade/position discussions.

Conventions

  • Separate combined pattern outputs with ---
  • Keep core answer prominent -- patterns enhance, not bury the response
  • Accept new pattern definitions mid-conversation ("Add /eli5 for explain like I'm 5") -- apply for the session

Verify

  • Pattern marker present in output (e.g., VERIFIED ANSWER: for /verify)
  • Core answer remains prominent -- meta-reasoning enhances, doesn't bury it
安全使用建议
This skill is instruction-only and internally consistent with its description: it doesn't install code or ask for secrets. Before enabling it for automated use, consider who can supply new pattern definitions mid-session (the skill allows accepting new patterns in-conversation) — if untrusted users or external inputs could influence patterns, restrict that capability. Also treat the meta outputs (e.g., adversarial or assumptions lists) as advisory and validate high-risk decisions with independent checks or human review before acting.
功能分析
Type: OpenClaw Skill Name: compound-eng-meta-prompting Version: 3.0.4 The skill bundle defines a set of meta-prompting patterns (e.g., /think, /verify, /adversarial) designed to enhance the reasoning capabilities of an AI agent during architecture reviews and decision-making. The instructions in SKILL.md and SPEC.md are focused entirely on cognitive frameworks and output formatting, with no evidence of malicious intent, data exfiltration, or unauthorized system interactions.
能力评估
Purpose & Capability
Name and description (structured reasoning modifiers and stress-testing patterns) match the SKILL.md content. The skill requires no binaries, env vars, config paths, or installs — all appropriate for an instruction-only meta skill.
Instruction Scope
SKILL.md stays within the stated purpose: it defines patterns (/think, /verify, /adversarial, /edge, etc.), combos, triggers, and output conventions. One point to note: it permits adding new pattern definitions mid-conversation ("Accept new pattern definitions mid-conversation"), which increases the agent's ability to change its runtime behavior during a session. This is coherent for a meta-prompting tool but could broaden behavior if untrusted inputs are passed as pattern definitions.
Install Mechanism
No install spec and no code files — lowest-risk model. Nothing is downloaded or written to disk as part of this skill.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no unexplained or excessive permissions.
Persistence & Privilege
always:false and no special persistence requested. disable-model-invocation is default (false), allowing autonomous invocation by agents which is the platform norm — not a concern on its own. The SPEC.md references project-local paths and test fixtures (expected for a skill spec) but does not require access to them at runtime.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install compound-eng-meta-prompting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /compound-eng-meta-prompting 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.0.4
v3.0.4
v3.0.3
v3.0.3
v3.0.2
v3.0.2
v3.0.1
v3.0.1
v3.0.0
v3.0.0
v2.56.1
v2.56.1
v2.56.0
v2.56.0
v2.55.1
v2.55.1
v2.55.0
v2.55.0
v2.53.2
v2.53.2
v2.53.0
v2.53.0
元数据
Slug compound-eng-meta-prompting
版本 3.0.4
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 11
常见问题

ia-meta-prompting 是什么?

Structured reasoning modifiers (/think, /verify, /adversarial, /edge, /confidence, /assumptions, etc.) to stress-test decisions, surface assumptions, or enum... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 279 次。

如何安装 ia-meta-prompting?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install compound-eng-meta-prompting」即可一键安装,无需额外配置。

ia-meta-prompting 是免费的吗?

是的,ia-meta-prompting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

ia-meta-prompting 支持哪些平台?

ia-meta-prompting 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 ia-meta-prompting?

由 Ilia Alshanetsky(@iliaal)开发并维护,当前版本 v3.0.4。

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