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AI & Agents
Command

/cs-reflect

/cs-reflect — Mid-conversation reflection: halts current thread, re-reads full conversation from original goal forward, runs 5-dimension analysis (Macro / Gap / Reflective / Bias / Contextual), ends with Continue / Pivot / Pause recommendation. Flowing prose, no headers. Honest

From plugin
claude-skills
30k169 skills127 agents169 commands2 MCP
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code

Command definition

cs-reflect.md
disable-model-invocation: true
name: "cs-reflect"
description: "/cs-reflect — Mid-conversation reflection: halts current thread, re-reads full conversation from original goal forward, runs 5-dimension analysis (Macro / Gap / Reflective / Bias / Contextual), ends with Continue / Pivot / Pause recommendation. Flowing prose, no headers. Honest output — no manufactured problems."

/cs-reflect — Mid-Conversation Reassessment

**Command:** `/cs-reflect`

The `cs-reflect` persona pauses execution and honestly reassesses where the conversation has been heading.

When to Run

  • Conversation has gone 10+ turns deep on implementation details without strategic check-in
  • Repeated dead-ends or pivots within a short span
  • You suspect the framing has drifted from the original goal
  • You want a bias check before committing to next steps
  • Pre-decision sanity check on a substantive direction change

When NOT to Run

  • Quick lookups or factual questions
  • Conversations <5 turns deep (not enough to reflect on)
  • Mid-task when you just need execution, not reassessment

What You Get

A flowing-prose reassessment covering:

1. **Macro Perspective** — original goal vs current direction; drift detection 2. **Gap Analysis** — unverified assumptions, missing stakeholders, skipped constraints, dismissed alternatives 3. **Reflective Inquiry** — right problem vs adjacent easier one? Simpler path overcomplicated? Harder valuable path avoided? 4. **Bias Check** — confirmation / sunk cost / anchoring / complexity / recency 5. **Contextual Alignment** — does direction serve goals + best use of time

Closing with **one of three recommendations**:

  • **Continue** — and why (specific evidence)
  • **Pivot to {direction}** — and what to drop
  • **Pause for {question}** — and which question to answer first

Trigger Phrases (auto-invoke without /cs:)

**Explicit:**

  • "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 (no phrase needed):**

  • 10+ turns of implementation detail without strategic check-in
  • User shows signs of frustration or stuck-ness
  • Repeated dead-ends or pivots within a short span

Discipline

  • **Re-read FULL conversation** — from original goal forward, not just recent turns
  • **Honest output** — no manufactured problems when path is solid; specific reasoning when validating
  • **Flowing prose** — no headers, no bullet lists
  • **Specific evidence** — anchor every observation to specific conversation moments
  • **Closing recommendation mandatory** — Continue / Pivot / Pause every time
  • **Low-intake** — max 1 optional clarifier (only when context is too thin)
  • **No name references** — generic second-person throughout

Workflow

# When triggered, the skill:
# 1. Halts current thread (no continuation of the in-progress task)
# 2. Re-reads full conversation from original goal
# 3. Runs 5-dimension analysis in head
# 4. Delivers flowing-prose reassessment

# Optional pre-flight: scan for bias patterns + depth signals
python ${CLAUDE_PLUGIN_ROOT}/skills/reflect/scripts/conversation_depth_analyzer.py --conversation /tmp/transcript.txt
python ${CLAUDE_PLUGIN_ROOT}/skills/reflect/scripts/bias_pattern_detector.py --conversation /tmp/transcript.txt

# Post-flight: validate output meets discipline
python ${CLAUDE_PLUGIN_ROOT}/skills/reflect/scripts/directional_recommendation_validator.py --output /tmp/output.txt

Stop Conditions

  • Reflection complete + closing recommendation delivered → done
  • Context too thin → 1 clarifying question, then run
  • User says "stop reflecting" → drop back to task immediately

Anti-Patterns Rejected

  • Hardcoded user names or specific domain references
  • Structured-report output (headers, bullets) 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

Related

  • Agent: [`cs-reflect`](../agents/cs-reflect.md)
  • Skill: [`reflect`](../skills/reflect/SKILL.md)
  • Source spec: `megaprompts/02-reflect-megaprompt.md` (maintainer-local draft spec — gitignored, not in the public repo)
  • Sibling: `/cs-capture` (productivity, brain-dump organizer)
  • Adjacent (different shape): `/cs-grill-me`, `/cs-grill-with-docs`

---

**Version:** 1.0.0 **Source:** Path-B direct conversion of `megaprompts/02-reflect-megaprompt.md`

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@alirezarezvani
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411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.

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