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Agent skill

Reflect

by kubefleet-dev in kubefleet-dev/kubefleet

Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes.

MITAuto-check passedAgent Workflows

Install Reflect

skills CLI
$ npx skills add kubefleet-dev/kubefleet --skill reflect -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kubefleet-dev/kubefleet reflect --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/reflect .claude/skills/reflect && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reflect
GitHub stars
162
Used in
1 other repo
Token cost
~1.9k tokens
SKILL.md length
557 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes.

  • Works in 4 steps: Identify Learning Target → Analyze Conversation → Propose Learnings → …
  • Agent Workflows work in your project
  • SKILL.md covers Integration with Squad…, Triggers, Process and Usage Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reflect is an agent skill from kubefleet-dev/kubefleet. Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: KubeFleet is an open-source Kubernetes multi-cluster application management solution. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “), praise (”
  • “exactly”
  • “/reflect”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Identify Learning Target
  2. Analyze Conversation
  3. Propose Learnings
  4. Persist Learnings

What it can do on your machine

Read from SKILL.md and the folder at commit ea05fcb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reflect loads about 1.9k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 557 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kubefleet-dev/kubefleet at commit ea05fcb, republished under its MIT licence (© kubefleet-dev). 557 words, ~1,898 tokens.

Download SKILL.mdSave it as .claude/skills/reflect/SKILL.md (or your agent's skills folder).
name
reflect
description
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.
license
MIT
version
1.0.0-squad
domain
team-memory, learning
confidence
high

Reflect Skill

Critical learning capture system for Squad. Prevents repeating mistakes and preserves successful patterns across sessions.

Analyze conversations and propose improvements to squad knowledge based on what worked, what didn't, and edge cases discovered. Every correction is a learning opportunity.

Integration with Squad Architecture

Reflect complements existing Squad knowledge systems:

  1. .squad/agents/{agent}/history.md — Permanent learnings from completed work (append-only; each agent updates their own file; Scribe propagates cross-agent updates)
  2. .squad/decisions.md — Team-wide decisions that all agents respect
  3. reflect skill — Captures in-flight learnings from conversations that may graduate to history.md or decisions.md

Workflow:

  • Use reflect during work to capture learnings
  • At session end, review captured learnings
  • Promote HIGH confidence patterns → lead agent for decision.md review
  • Promote agent-specific patterns → {agent}/history.md updates

Triggers

🔴 HIGH Priority (Invoke Immediately)
TriggerExampleWhy Critical
User correction"no", "wrong", "not like that", "never do"Captures mistakes to prevent repetition
Architectural insight"you removed that without understanding why"Documents design decisions (Chesterton's Fence)
Immediate fixes"debug", "root cause", "fix all"Learns from errors in real-time
🟡 MEDIUM Priority (Invoke After Multiple)
TriggerExampleWhy Important
User praise"perfect", "exactly", "great"Reinforces successful patterns
Tool preferences"use X instead of Y", "prefer"Builds workflow preferences
Edge cases"what if X happens?", "don't forget", "ensure"Captures scenarios to handle
🟢 LOW Priority (Invoke at Session End)
TriggerExampleWhy Useful
Repeated patternsFrequent use of specific commands/toolsIdentifies workflow preferences
Session endAfter complex workConsolidates all session learnings

Process

Phase 1: Identify Learning Target

Determine what knowledge system should be updated:

  1. Agent-specific learning → .squad/agents/{agent}/history.md
  2. Team-wide decision → .squad/decisions/inbox/{agent}-{topic}.md
  3. Skill-specific improvement → Document in session, recommend to skill owner
Phase 2: Analyze Conversation

Scan for learning signals with confidence levels:

HIGH Confidence: Corrections

User actively steered or corrected output.

Detection patterns:

  • Explicit rejection: "no", "not like that", "that's wrong"
  • Strong directives: "never do", "always do", "don't ever"
  • User provided alternative implementation

Example:

text
User: "No, use the azure-devops MCP tool instead of raw API calls"
→ [HIGH] + Add constraint: "Prefer azure-devops MCP tools over REST API"
MEDIUM Confidence: Success Patterns

Output was accepted or praised.

Detection patterns:

  • Explicit praise: "perfect", "great", "yes", "exactly"
  • User built on output without modification
  • Output was committed without changes

Example:

text
User: "Perfect, that's exactly what I needed"
→ [MED] + Add preference: "Include usage examples in documentation"
Show full SKILL.md (216 more words)Show less
MEDIUM Confidence: Edge Cases

Scenarios not anticipated.

Detection patterns:

  • Questions not answered
  • Workarounds user had to apply
  • Error handling gaps discovered
LOW Confidence: Preferences

Accumulated patterns over time.

Phase 3: Propose Learnings

Present findings:

text
┌─────────────────────────────────────────────────────────────┐
│ REFLECTION: {target (agent/decision/skill)}                  │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│ [HIGH] + Add constraint: "{specific constraint}"            │
│   Source: "{quoted user correction}"                        │
│   Target: .squad/decisions/inbox/{agent}-{topic}.md         │
│                                                             │
│ [MED]  + Add preference: "{specific preference}"            │
│   Source: "{evidence from conversation}"                    │
│   Target: .squad/agents/{agent}/history.md                  │
│                                                             │
│ [LOW]  ~ Note for review: "{observation}"                   │
│   Source: "{pattern observed}"                              │
│   Target: Session notes only                                │
│                                                             │
├─────────────────────────────────────────────────────────────┤
│ Apply changes? [Y/n/edit]                                   │
└─────────────────────────────────────────────────────────────┘

Confidence Threshold:

ThresholdAction
≥1 HIGH signalAlways propose (user explicitly corrected)
≥2 MED signalsPropose (sufficient pattern)
≥3 LOW signalsPropose (accumulated evidence)
1-2 LOW onlySkip (insufficient evidence)
Phase 4: Persist Learnings

ALWAYS show changes before applying.

After user approval:

  1. For Agent History:

    • Append to .squad/agents/{agent}/history.md under ## Learnings section
    • Format: Date, assignment context, key learning

  2. For Team Decisions:

    • Create .squad/decisions/inbox/{agent}-{topic}.md
    • Lead agent reviews and merges to decisions.md if appropriate

  3. For Skills:

    • Document recommendation in session notes
    • Squad lead reviews and routes to skill owner

Usage Examples

Example 1: User Correction

Conversation:

Agent: "I'll use grep to search the repository"
User: "No, use the code search tools first, grep is too slow"

Reflection Output:

[HIGH] + Add constraint: "Use code intelligence tools before grep"
  Source: "No, use the code search tools first, grep is too slow"
  Target: .squad/agents/{agent}/history.md
Example 2: Success Pattern

Conversation:

Agent: [Creates PR with detailed description and test plan]
User: "Perfect! This is exactly the format I want for all PRs"

Reflection Output:

[MED] + Add preference: "Include test plan in PR descriptions"
  Source: User praised detailed PR format
  Target: .squad/decisions/inbox/pr-format.md (for team adoption)

When to Use

✅ Use reflect when:

  • User says "no", "wrong", "not like that" (HIGH priority)
  • User says "perfect", "exactly", "great" (MED priority)
  • You discover edge cases or gaps
  • Complex work session with multiple learnings
  • At end of sprint/milestone to consolidate patterns

❌ Don't use reflect when:

  • Simple one-off questions with no pattern
  • User is just exploring ideas (no concrete decisions)
  • Learning is already captured in history.md/decisions.md

See Also

  • .squad/decisions.md — Team-wide decisions
  • .squad/agents/*/history.md — Agent-specific learnings
  • .squad/routing.md — Work assignment patterns

© kubefleet-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/reflect of kubefleet-dev/kubefleet.

Open the folder on GitHubat commit ea05fcb

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in kubefleet-dev/kubefleet, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Reflect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reflect compared with similar skills
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Reflect this skillkubefleet-dev/kubefleet1621 repos~1.9kAutomated safety check: PassMIT
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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Reflect

What does Reflect do?

Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Reflect is an agent skill from kubefleet-dev/kubefleet. Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes.

When should I use Reflect?

Reflect fits situations like: agent Workflows work in your project.

How do I install Reflect in Claude Code?

Run `npx skills add kubefleet-dev/kubefleet --skill reflect -a claude-code`. Or copy the skill folder (.github/skills/reflect in kubefleet-dev/kubefleet) into .claude/skills/reflect in your project. Claude Code loads it when a task matches its description.

How do I install Reflect in Codex?

Run `npx skills add kubefleet-dev/kubefleet --skill reflect -a codex`. Or copy the skill folder (.github/skills/reflect in kubefleet-dev/kubefleet) into .agents/skills/reflect in your project. Codex loads it when a task matches its description.

Can I use Reflect in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kubefleet-dev/kubefleet --skill reflect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reflect, .gemini/skills/reflect, .github/skills/reflect and .opencode/skills/reflect in your project.

What does Reflect need to run?

SKILL.md names no scripts, command-line tools or credentials: Reflect is instructions for the agent only.

Does Reflect access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reflect safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reflect use?

Reflect is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reflect use?

About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reflect?

Skills that share tags, products or a category with Reflect: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reflect?

kubefleet-dev (a GitHub organization) maintains it in kubefleet-dev/kubefleet, which has 162 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.

Source: kubefleet-dev/kubefleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.