quriov/quriov-skills · Archived

deep-intent-analysis

MUST invoke BEFORE responding to feature/modification/optimization/refactor/redesign requests, in ANY language (EN/中文). Performs 3-layer intent analysis (surface→direct→deeper goal / 表面-直接-深层) and proposes 2-8 related improvements (举一反三 / 添加/新增/改/优化/重构/设计/add/create/build/optimize/refactor/improve) serving the same deeper goal, then STOPS for user scope confirmation before any code. Runs UPSTREAM of brainstorming/planning skills. Skip ONLY for these cases — pure factual q…

First seen Jul 23, 2026

Installation

$ npx skills add quriov/quriov-skills --skill deep-intent-analysis

Summary

  • MUST invoke BEFORE responding to feature/modification/optimization/refactor/redesign requests, in ANY language (EN/中文).
  • Performs 3-layer intent analysis (surface→direct→deeper goal / 表面-直接-深层) and proposes 2-8 related improvements (举一反三 / 添加/新增/改/优化/重构/设计/add/create/build/optimize/refactor/improve) serving the same deeper goal, then STOPS for user scope confirmation before any code.
  • Runs UPSTREAM of brainstorming/planning skills.
  • Skip ONLY for these cases — pure factual questions (什么是X/what is X), typo fixes, short replies (好/ok/yes), an already-scoped handoff/接班 take-over (task+boundaries+stop-go already given → follow it), or messages prefixed with skip:/quick:/直接:.

Stronger alternatives

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

License MIT
Default branch main
Open issues 1
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 12,921 B
  • docs SUMMARY.md 774 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

<!-- deep-intent-analysis-skill-rev: 2026-07-23 -->

Deep Intent Analysis + 举一反三

<EXTREMELY-IMPORTANT> If you think there's even a 10% chance the user wants something beyond their literal request, you MUST run Steps 1-3 of this skill. The cost of running when unneeded is 3 table rows. The cost of skipping when needed is a failed scope contract and multi-round rework. Default to invoking — miss the gate, and the user will call it out. </EXTREMELY-IMPORTANT>

<HARD-GATE> Do NOT write code, edit files, or invoke implementation skills (plan/tdd-workflow/brainstorming/etc.) until:

  1. You have output Step 1 (3-layer intent table), AND
  2. You have output Step 2 (extrapolation table), AND
  3. The user has EXPLICITLY confirmed scope via a follow-up message.

This applies regardless of how small the request seems. This skill runs UPSTREAM of brainstorming, planning, and TDD skills — invoke it first. </HARD-GATE>

When to use this skill (TRIGGERING)

You MUST invoke this skill on ANY user message that could be one of these:

Type Chinese examples English examples
Feature request "添加X", "新增Y", "实现Z", "做一个", "帮我写" "add X", "create Y", "build Z", "implement"
Modification "改X", "修改", "调整", "换成", "把X改成Y" "change X", "modify", "switch to", "turn X into Y"
Optimization "优化", "改进", "提升", "完善", "更好", "更快" "optimize", "improve", "enhance", "better", "faster"
Refactor "重构", "重写", "整理" "refactor", "rewrite", "clean up"
Design question "该怎么设计", "架构如何", "思路是什么", "方案是什么" "how should we design", "what's the architecture", "how would you approach"
Multi-item asks anything with "还有", "以及", "另外", "同时" anything with "also", "and", "plus"
Polite imperatives "帮我X", "能不能X", "需要X", "顺便X" "can you X", "please X", "I need X"
Vague improvement "这里能不能更好一点", "这个不太对" "this could be better", "something feels off"

Red Flags — STOP, you're rationalizing

If you catch yourself thinking any of these, STOP and invoke the skill:

Rationalization Reality
"This is too small to need intent analysis" Small tasks are where scope creep starts. 3 lines of analysis costs less than 3 rounds of rework.
"I already know what they mean" Knowing ≠ outputting. User needs to see the 深层目标 to confirm or correct it.
"Let me just start, I can extrapolate mid-way" Mid-way extrapolation = scattered, not batched. User pays cost twice.
"The request is very specific" Specific surface ≠ specific deeper goal. Check Layer 3 anyway.
"They said quick change" If they didn't prefix quick: or skip:, treat as normal.
"It's obvious from context" Obvious to you ≠ obvious to them. The gate is for them, not you.
"This is a follow-up question in the same conversation" See "Multi-turn behavior" below — may still need fresh analysis.

When to skip this skill (HARD EXEMPTIONS)

Skip ONLY if the message is CLEARLY one of:

  1. Pure factual question — "什么是 X", "X 是什么", "what is X", "how does X work", ends in ? asking for explanation not change
  2. Single-line typo/wording fix — "改个 typo", "拼写错了", "fix a typo"
  3. Short reply / confirmation — "好", "对", "嗯", "ok", "继续", "yes", "no", "没问题", "行"
  4. User explicit override — message starts with skip:, quick:, 直接:, 快速:
  5. Pasted error/log for diagnosis — user pasted stack trace or error log, asking "这是什么错" / "what's this error"
  6. Request to modify Claude's previous text reply (not code) — "把刚才的回复改一下措辞"
  7. Handoff / 接班 take-over, scope already defined — the message hands off / resumes work AND already gives task + order/boundaries + stop/go (决策门) → follow it directly; do NOT re-run analysis or re-confirm scope (e.g. "按 handoff 接 Task 5 / 继续接班 / 接任务板 #X"). ⚠️ Exception: DO run Steps 1-3 (scoped to just the new part) if the taker adds a NEW independent feature, changes a boundary, or hits an outcome-changing choice — a handoff exempts continuation, not new scope.

When skipping, answer directly without invoking this skill.

The protocol (MANDATORY when invoked — every step)

Step 1 — Three-layer intent analysis

Output this table before any other content:

## 意图分析

| 层级 | 内容 |
|------|------|
| 1. 表面需求 | [literal restatement of the request] |
| 2. 直接目的 | [the immediate outcome they want] |
| 3. 深层目标 | [the underlying goal/value they're optimizing for] |

If Layer 3 contradicts or suggests a better path than Layer 1, flag it explicitly with a "⚠️ 深层目标与表面需求可能有更优路径" note.

Step 2 — 举一反三 (2-8 extrapolations)

Based on Layer 3 (deeper goal), propose 2-8 additional items the user did NOT ask for but that serve the same deeper goal.

Quantity rule: Stop when quality drops. 2 excellent extrapolations beat 6 padded ones.

## 举一反三

| # | 补充建议 | 为什么服务同一深层目标 | 推荐/可选 |
|---|---------|------------------------|-----------|
| 1 | ... | ... | 推荐 |
| 2 | ... | ... | ... |

Step 3 — STOP and get scope confirmation

Write the confirmation prompt in the same language as the user's message:

  • User wrote in Chinese → "以上是意图分析和补充建议。要全做哪几条?还是只做原需求?"
  • User wrote in English → "Above is the intent analysis and extrapolations. Which items should I tackle — all, a subset, or just the original request?"
  • Mixed/unclear → Chinese by default (per user's global CLAUDE.md)

Do not write code, do not make file edits until the user confirms scope.

Step 4 — Execute agreed scope in one batch

Once user confirms, execute all agreed items together. Don't re-ask for each item.

Multi-turn behavior

  • First invocation in a thread — run full Steps 1-3, UNLESS it's an already-scoped handoff take-over (exemption 7 → follow the handoff directly).
  • User adds a new independent ask mid-conversation ("再加个 X", "also add Y", "顺便做一下 Z") — run full Steps 1-3 scoped to just the new item.
  • User refines agreed scope ("去掉 4", "把 1 和 3 的优先级调换") — NO re-trigger. Just confirm and execute.
  • User says "继续" / "go ahead" during Step 4 execution — NO re-trigger. Continue executing the batch.
  • New session / post-compaction — treat as fresh thread, re-trigger on first qualifying message.
  • Pure debug/test of already-agreed feature — NO re-trigger. Just work on the bug.

Thinking dimensions for 举一反三

When generating extrapolations, scan these dimensions:

  • 同一页面/模块其他相似问题 — 改一个按钮 → 同模块其他按钮是否也该改
  • 用户旅程前后摩擦点 — 加登录页 → 注册/忘记密码/会话过期
  • 跨模块一致性 — 前端改字段名 → 后端/DB/API 文档/测试
  • 边界情况 — 空数据 / 错误 / 权限不足 / 网络失败
  • 效率乘数 — 重复任务能否自动化/批量化/模板化
  • UX 细节 — loading / 错误提示 / 确认对话框 / 键盘快捷键
  • 数据与状态 — 持久化 / 缓存失效 / 并发 / 迁移
  • 可观测性 — 日志 / 错误上报 / 性能监控 / 埋点
  • 性能 & 规模 — N+1 / 批量 / 分页 / 缓存

Anti-patterns (DO NOT)

  1. ❌ Writing code or editing files before outputting Step 1-2
  2. ❌ Skipping "举一反三" and only restating surface request
  3. ❌ Proposing extrapolations unrelated to Layer 3 (scattered suggestions)
  4. ❌ Padding to 8 items when only 2-3 are genuinely relevant (quality > quantity)
  5. ❌ Asking one-by-one about each extrapolation (batch the decision instead)
  6. ❌ Jumping to Step 4 without user confirming scope
  7. ❌ Running brainstorming/plan/tdd skills before this one (those are downstream)

Concrete examples

✅ Correct activation — "给电商后台加个批量导出订单的功能"

## 意图分析
| 层级 | 内容 |
|------|------|
| 1. 表面需求 | 电商后台加"批量导出订单"功能 |
| 2. 直接目的 | 一次性下载多个订单,避免逐个操作 |
| 3. 深层目标 | 让运营/财务能高效做数据分析和对账 |

## 举一反三
| # | 补充建议 | 为什么 | 推荐 |
|---|---|---|---|
| 1 | 按日期/状态/渠道筛选后导出 | 深层目标是"高效分析",筛选是前提 | 推荐 |
| 2 | 导出格式支持 Excel/CSV/JSON | 下游工具需求不同 | 推荐 |
| 3 | 大数据量异步任务 + 飞书通知 | 避免前端阻塞 | 推荐 |
| 4 | 导出记录存档(谁/何时/何字段)| 合规审计 | 可选 |
| 5 | 保存导出模板 | 重复导出零配置 | 可选 |
| 6 | 敏感字段脱敏选项 | 外部分享安全 | 推荐 |

以上是意图分析和补充建议。要全做哪几条?还是只做原需求(基础批量导出)?

✅ Correct activation — "help me optimize this query performance"

## Intent Analysis
| Layer | Content |
|------|------|
| 1. Surface | Optimize the query's performance |
| 2. Direct | Make the query run faster |
| 3. Deeper | Keep the overall page/API responsive under production load |

## Extrapolations
| # | Suggestion | Why it serves the deeper goal | Rec |
|---|---|---|---|
| 1 | Add DB index on filtered columns | Root cause of slow query | Recommended |
| 2 | Cache hot query results (Redis / in-memory) | Page responsiveness, not just this query | Recommended |
| 3 | Add `EXPLAIN ANALYZE` regression test | Prevent regression on future schema changes | Recommended |
| 4 | Monitor p95/p99 query latency | Responsiveness is a distribution, not an average | Optional |

Above is the intent analysis and extrapolations. Which items should I tackle — all, a subset, or just the original request?

✅ Correct skip — "React 19 和 18 有什么区别"

Answer directly. Do NOT invoke this skill.

✅ Correct skip — "改一下 typo 在第 23 行"

Fix the typo. Do NOT invoke this skill.

✅ Correct skip — handoff take-over (scope already defined)

User pastes a 接班/handoff prompt with task + boundaries + stop/go (决策门) already given → execute directly, no intent tables, no scope re-confirmation. (Trigger only if a NEW feature or boundary change then appears.)

❌ Wrong — jumping to code

User: "给电商后台加个批量导出功能" Wrong response: immediately writes code for basic export Correct: Invoke this skill, do Steps 1-3, wait for confirmation.

❌ Wrong — unrelated extrapolations

User: "优化登录页的加载速度" Wrong extrapolations: "顺便也加个注册页/用户资料页" (unrelated to deeper goal "加载速度") Correct extrapolations: "图片懒加载 / 代码分包 / SSR 预渲染 / 关键资源 preload" (all serve "加载速度")

Rationale (why this matters)

From real-team user feedback (TikTok / e-commerce 协作实践):

"用户认为这是最高效的协作方式 — 一次讨论就能把围绕同一个目标的所有优化点全部识别出来,避免来回多轮。"

Missing this skill causes:

  • User must keep coming back with follow-up requests
  • The agent implements narrow surface request, missing obvious improvements
  • Scope creeps across multiple rounds
  • Wastes user's time and context budget

Self-check before responding

Before ANY response to a user message, ask yourself:

"Is this a feature/modification/optimization/refactor/design question/multi-item ask?"

  • YES → Invoke this skill. Output Step 1-3. STOP.
  • NO (clearly a factual question, typo fix, or short reply per HARD EXEMPTIONS) → Answer directly.
  • UNSURE → Default to invoking this skill. See <EXTREMELY-IMPORTANT> at top.