对话反思_reflect

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314人浏览 · 2026-07-28 09:24:39

shallwegzgdj · 2026-07-28 09:24:39 发布

以下为本文档的中文说明

这是一个对话中途的反思（Reflection）技能，当用户在深入细节模式中工作时，它可以暂停执行并"拉远镜头"，诚实重估当前方向、假设和偏见。这是一个纯推理技能，不需要任何外部工具，可以在 Claude Code CLI 和 Claude.ai 网页端直接运行。触发方式包括显式短语（如"reflect"、“take a step back”、“zoom out”、“sanity check this”、“are we on track”）和隐式信号（对话已经连续 10 轮以上在细节层面讨论而没有战略检查点）。使用场景非常广泛：当你陷入复杂实现细节而忘记了最初目标时；当团队在反复碰壁需要重新审视方向时；或者当你需要一个"魔鬼代言人"来挑战你的假设时。核心分析框架包括五个维度：宏观视角（从最初目标出发检测漂移）、差距分析（发现未经验证的假设、缺失的利益相关者、被跳过的约束）、反思性探究（问题是否被正确定义？是否在解决简单问题而非正确问题？）、偏见检查（识别确认偏差、沉没成本谬误、锚定效应、复杂性偏差和近因偏差）和上下文对齐（当前方向是否服务于用户的真实目标）。每次反思都会输出一个明确的方向性建议：继续前行、转向新方向、或者暂停回答一个具体问题。输出风格要求流畅的散文式分析，不使用标题和项目符号，体现出真正的对话式反思而非格式化报告。

Reflect — Mid-Conversation Reassessment

Portability: Pure-reasoning skill. No external tools required. Works in Claude Code CLI + Claude.ai web natively. Most portable in the v2 collection.

When invoked mid-conversation, this skill pauses execution and produces a frank reassessment of where the conversation has been heading. Output is flowing analysis (no headers, conversational tone) covering macro perspective, gap analysis, reflective inquiry, bias check, and contextual alignment. The skill ends with a clear directional recommendation: continue, pivot, or pause to answer a specific question.

Invocation Triggers

Explicit phrases:

“reflect”
“take a step back” / “step back”
“zoom out”
“are we missing something”
“bigger picture”
“what are we missing”
“let’s pause”
“sanity check this”
“are we on track”
“are we overthinking this”
“forest for the trees”

Implicit signals (no phrase needed):

Conversation has gone 10+ turns deep on implementation details without strategic check-in
User shows signs of frustration or stuck-ness
Repeated dead-ends or pivots within a short span

When you detect an implicit trigger, don’t auto-invoke — ask the user if they want to step back. Implicit signals are a prompt to OFFER reflection, not to unilaterally run it.

Stop Directive (Before Reassessing)

Halt the current thread. Don’t continue execution of the in-progress task. Reflection is a pause, not a side-quest.

This matters because:

Continuing detail work while “reflecting on the side” defeats the purpose — you’ll over-weight the current direction
The user expects a clear break in cadence
The reassessment needs full attention to the conversation history

Grill-Me Optional Clarifier

This skill is intentionally low-intake — most invocations should run the 5-dimension analysis immediately without questions. The grill-me discipline applies only when the invocation is ambiguous (e.g., user pastes “step back” at the start of a fresh conversation with no prior context to reassess).

Q1 (optional, asked only when context is too thin to reassess)

What specifically should I reassess? Pick one:

The goal — are we solving the right problem?

The approach — is the path we’re on the best one?

The assumptions — what are we taking for granted?

All of the above (default if you have time)

Why I’m asking: I’m seeing limited prior context to reassess, so I want to focus the reflection rather than guess. If you’d rather I do all three, that’s fine — say so.

Forcing choice with default. Asked only when context is genuinely thin; otherwise skip and run the full analysis on existing conversation.

Stop condition: One question max. If the user invokes mid-conversation with normal context, no questions are asked — the skill runs directly.

The 5-Dimension Analysis Framework

Re-read the full conversation from the original goal forward — not just recent turns. The discipline that distinguishes real reflection from local-context summary.

1. Macro Perspective

Original goal: What did the user actually start trying to do?
Drift detection: Has the conversation moved away from that goal? Toward something better or worse?
Connection check: How does current work connect to the larger objective?

Anchor with specific evidence: “At turn 3 the goal was X; by turn 12 we’re working on Y. Is Y a productive narrowing of X, or a drift away?”

2. Gap Analysis

Unverified assumptions — what are we taking for granted that we haven’t checked?
Missing stakeholders / audiences / users — who needs this beyond the immediate context?
Skipped constraints — technical, regulatory, resource limits not addressed
Dismissed alternatives — paths considered but rejected; revisit briefly
External factors — timing, market, dependencies not in scope

3. Reflective Inquiry

Is the problem framed correctly?
Solving the right problem vs. an adjacent easier one?
Simp
ler path being overcomplicated?
Harder but more valuable path being avoided?
Fresh-eyes perspective: would someone else approach this differently?

4. Bias Check

Five biases — recognize each through specific conversation patterns:

Bias	Recognition cue
Confirmation bias	Evidence cited only supports the working hypothesis; counter-evidence absent or dismissed
Sunk cost fallacy	“We’ve already invested X” / “we’re far enough in to…” instead of fresh cost/benefit
Anchoring	Stuck on first option mentioned; new options compared against it rather than evaluated independently
Complexity bias	Adding features / steps / safeguards without specific justification for each
Recency bias	Over-weighting last few turns; older but important context being ignored

For each detected bias: name it, cite the specific evidence, suggest a corrective move.

See references/cognitive_bias_canon.md for the full canon.

5. Contextual Alignment

Does the direction serve the user’s actual goals (as known from context)?
Are external factors being ignored?
Is this the best use of the user’s time and energy right now?
Connection to other known projects or priorities?

Tone and Format Rules

The skill must produce:

Flowing prose — no headers, no bullet lists, no structured-report formatting
Tight but thorough — neither a one-liner nor a wall of text
Direct critique when warranted — with specific evidence from the conversation
Validation when warranted — with specific reasoning for why the path is solid
No vague reassurance — “looks good!” without reasoning is rejected
No manufactured problems — when the path is genuinely solid, say so with specific reasons; don’t invent issues

See references/honest_output_discipline.md for the anti-manufactured-problems framing.

Closing Recommendation (Mandatory)

Every run ends with one of three directional recommendations:

Recommendation	When	Format
Continue	Path is solid	“Continue. {specific reasoning for why}.”
Pivot to {X}	Drift has occurred OR better path surfaced	“Pivot toward {X}, away from {what to drop}. {specific evidence}.”
Pause for {Q}	A specific question needs answering before continuing	“Pause for {Q}. Without answering this, the next step risks {specific cost}.”

The closing is always specific — never “you should think more about this” or “consider your options.”

Error Handling

Situation	Behavior
Conversation is very short (no real context to reassess)	Acknowledge limitation, ask user what they want reassessed (Q1 fires)
Current direction is genuinely solid	State this clearly with reasoning; don’t manufacture problems
User invokes mid-task with no clear question	Default to macro perspective + bias check; offer to dig deeper
Implicit trigger seems possible but unclear	Don’t invoke proactively; ask user if they want to step back

Tooling

Script	Role
`scripts/bias_pattern_detector.py`	Scan conversation text for patterns indicative of each of the 5 biases
`scripts/conversation_depth_analyzer.py`	Count turns + detect implicit-trigger signals (10+ detail turns, frustration markers)
`scripts/directional_recommendation_validator.py`	Verify output ends with Continue / Pivot / Pause + specific reasoning

References

references/cognitive_bias_canon.md — 5 biases + recognition cues (7+ sources)
references/honest_output_discipline.md — anti-manufactured-problems framing (7+ sources)
references/conversation_reflection_practice.md — Schön reflective-practice canon (7+ sources)

Anti-Patterns To Reject

Hardcoded user names or specific domain references
Structured-report output (headers, bulle
t lists) when prose is required
Manufactured problems when things are actually fine
Vague reassurance (“looks good!”) instead of specific reasoning
Reassessing only recent turns instead of the full conversation
Skipping the closing directional recommendation
Continuing the in-progress task while “reflecting on the side”

Version: 1.0.0
Source spec: megaprompts/02-reflect-megaprompt.md
Build pattern: Path B (direct conversion). Productivity light-prompt-flow sibling of capture.