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Feedback Mastery

OrganizationPopular
softaworks
feedback-mastery

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namefeedback-mastery
Stars
2.5K
Forks
226
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by softaworks on GitHub. Read the source before you install it.

Installation

Install the Feedback Mastery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/feedback-mastery .claude/skills/feedback-mastery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feedback Mastery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Feedback Mastery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Feedback Mastery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Feedback Conversations

Overview

This skill provides frameworks for navigating difficult workplace conversations and delivering effective feedback. Whether you're addressing performance issues, resolving conflicts, or giving constructive feedback, these structured approaches lead to better outcomes.

Core insight: Research shows that employees who approach difficult conversations with preparation and a clear framework are 60% more likely to reach a positive resolution than those who engage without a plan.

When to Use This Skill

Use this skill when:

  • Preparing to give feedback to a colleague or direct report
  • Addressing performance issues or missed expectations
  • Navigating conflict between team members
  • Having 1:1 conversations about sensitive topics
  • Receiving feedback and wanting to respond constructively
  • Managing expectations with stakeholders

Keywords: feedback, difficult conversation, 1:1, one-on-one, performance, conflict, expectations, behavior, confrontation

Core Frameworks

The Preparation-Delivery-Follow-up Model

A three-part structure for difficult conversations:

PhaseFocusKey Questions
PreparationUnderstand the issue, define goals, manage emotionsWhat's the problem? What outcome do I want? Am I calm?
DeliveryOpen neutrally, use facts not blame, encourage dialogueHow do I start? What evidence do I have? How do I involve them?
Follow-upDocument actions, set check-ins, provide supportWhat did we agree to? When will we check in? How do I support?

The SBI Feedback Model

Situation-Behavior-Impact (SBI) structures feedback to be specific, objective, and actionable:

ComponentDescriptionExample
SituationDescribe the specific context"During yesterday's code review..."
BehaviorState the observable action (not interpretation)"...you interrupted Sarah three times while she was explaining her approach..."
ImpactExplain the effect on team/project/person"...which made her hesitate to share ideas and slowed down our discussion."

Why it works: SBI removes assumptions and focuses on observable facts, reducing defensiveness.

Preparation Phase

Step 1: Understand the Issue

Ask yourself:

  • What exactly is the problem? (Be specific, not vague)
  • How does it impact the team, project, or company?
  • Have I gathered all relevant facts?
  • Is this a pattern or a one-time event?

Step 2: Define Your Goals

Before the conversation, clarify what you're seeking:

Goal TypeExample
Behavior change"I want them to submit code reviews on time"
Mutual understanding"I want to understand what's blocking them"
Expectation setting"I want to clarify what 'done' means for features"
Problem solving"I want to find a solution together"

Tip: Use if-then statements to clarify stakes:

"If this behavior continues, then the project timeline will suffer, leading to missed deliverables."

Step 3: Manage Your Emotions

High emotional intensity reduces cognitive processing by 30%. Before the conversation:

  • Am I calm and in control?
  • Have I separated facts from personal frustrations?
  • Have I considered their perspective?
  • Can I present this without accusation?

Reframing technique:

AccusatoryConstructive
"You always miss deadlines and it slows everyone down""I've noticed some recent delays and want to understand any challenges you're facing"
"You never test your code properly""I've seen a few bugs slip through recently. Let's talk about our testing process"

Delivery Phase

The Three-Step Delivery Formula

  1. Open with neutrality and intent
  2. Present the issue using facts, not blame
  3. Encourage dialogue and solutions

Opening Lines That Work

ContextOpening
General"I want to talk about something important to our team's success, and I'd love to hear your perspective."
Performance"I've noticed some patterns I'd like to discuss. My goal is to support you, not criticize."
Conflict"I sense there might be some tension, and I'd like to understand what's happening from your side."
Expectations"I want to make sure we're aligned on expectations. Can we talk through how this project is going?"

Facts, Not Blame

BlamingFactual
"You're not committed to this project""I've noticed your updates have been brief in our last three meetings. Is something affecting your workload?"
"You don't care about code quality""This PR had 12 bugs caught in QA. Let's talk about what happened and how we can improve"
"You're always late""The standup started at 9:00 and you joined at 9:15 the last three days. What's going on?"

Key principles:

  • Use specific examples, not generalizations ("always," "never")
  • Stick to observable behaviors, not assumptions about motives
  • Focus on impact, not character

Encouraging Dialogue

After stating your observation, shift to collaboration:

SituationDialogue Prompt
Understanding barriers"What's been challenging about this?"
Seeking their view"How do you see the situation?"
Finding solutions"What would help you succeed here?"
Checking alignment"Does this match your understanding of what happened?"

Follow-up Phase

Even successful conversations need follow-through to create lasting change.

Follow-up Checklist

  • Document agreed-upon action items - What specifically will change?
  • Set check-in dates - When will you revisit this?
  • Provide ongoing support - How will you help them succeed?
  • Celebrate progress - Recognize improvements when they happen

Sample Follow-up Message

markdown
Hi [Name],

Thanks for the conversation yesterday. I appreciated your openness.

**What we agreed to:**
- [Action item 1] - [Timeline]
- [Action item 2] - [Timeline]

**Check-in:** Let's reconnect [date] to see how things are going.

I'm here if you need any support. Thanks for working through this with me.

Best,
[Your name]

SBI Examples for Software Teams

Positive Feedback

Code Review:

Situation: "During Tuesday's code review for the authentication module..." Behavior: "...you provided detailed comments on potential security vulnerabilities and suggested efficient fixes..." Impact: "...which strengthened our security posture and saved the team hours of debugging later."

Collaboration:

Situation: "In yesterday's architecture discussion..." Behavior: "...you asked clarifying questions and built on others' ideas instead of pushing your own solution..." Impact: "...which helped us reach consensus faster and made everyone feel heard."

Constructive Feedback

Missed Deadlines:

Situation: "When we were finalizing the API deployment last Thursday..." Behavior: "...your testing results came in two hours after our agreed cutoff..." Impact: "...which delayed the release, risked our SLA, and caused the QA team to work overtime."

Meeting Behavior:

Situation: "In our sprint planning yesterday..." Behavior: "...you were on your phone for most of the discussion and didn't contribute when we asked for estimates..." Impact: "...which left the team without your expertise on the backend stories and made others feel their time wasn't valued."

For more examples: See references/feedback-sbi-model.md

Common Difficult Scenarios

Scenario: Performance Issue

Situation: A developer consistently delivers code with bugs.

Approach:

  1. Prepare: Gather specific examples (PRs, bug counts, timelines)
  2. Deliver: "I've noticed [X bugs in last Y PRs]. I want to understand what's happening and how I can support you."
  3. Explore: Ask about workload, clarity of requirements, testing confidence
  4. Collaborate: "What would help you feel more confident about code quality?"
  5. Follow-up: Check in after agreed changes, recognize improvements

Scenario: Conflict Between Team Members

Situation: Two engineers disagree on technical approach and it's affecting the team.

Approach:

  1. Meet separately first: Understand each perspective
  2. Find common ground: What do they both want? (Working product, good code, etc.)
  3. Facilitate together: Focus on facts and trade-offs, not personalities
  4. Establish decision process: How will the team decide when there's disagreement?
  5. Follow-up: Check that the solution is working

Scenario: Unrealistic Expectations

Situation: Leadership wants a feature in half the time needed.

Approach:

  1. Prepare: Data on similar past work, breakdown of required tasks
  2. Deliver: "I want to make sure we're aligned on what's realistic. Here's what I'm seeing..."
  3. Present trade-offs: "We can hit that date if we [reduce scope/add people/accept risk]"
  4. Collaborate: "What's most important here - the date or the full feature set?"
  5. Document: Get agreement in writing to avoid future misalignment

For detailed scripts: See references/difficult-conversation-scripts.md

Receiving Feedback Well

When you're on the receiving end:

During the Conversation

  1. Listen fully - Don't prepare your defense while they're talking
  2. Ask clarifying questions - "Can you give me a specific example?"
  3. Paraphrase to confirm - "So what you're saying is..."
  4. Acknowledge impact - Even if intent was different: "I can see how that affected you"
  5. Don't get defensive - Thank them for raising it

After the Conversation

  1. Reflect honestly - Is there truth in the feedback?
  2. Identify actions - What will you do differently?
  3. Follow up - Let them know what you're changing
  4. Ask for ongoing feedback - Show you're committed to growth

Quick Reference: Difficult Conversation Checklist

Before

  • I understand the specific issue
  • I have concrete examples
  • I've defined my goal for the conversation
  • I'm emotionally regulated
  • I've considered their perspective

During

  • I opened with neutrality and intent
  • I stated facts, not blame
  • I used SBI for specific feedback
  • I asked for their perspective
  • I focused on solutions, not just problems
  • I documented agreed actions

After

  • I sent a follow-up summary
  • I scheduled a check-in
  • I'm providing ongoing support
  • I'm recognizing progress

Companion Resources

  • references/feedback-sbi-model.md - Full SBI framework with more examples
  • references/difficult-conversation-scripts.md - Opening lines and responses
  • references/expectation-alignment.md - Managing stakeholder expectations

Recommended Reading

  • "Crucial Conversations" by Kerry Patterson & Joseph Grenny
  • "Difficult Conversations" by Stone, Patton, Heen
  • "Radical Candor" by Kim Scott
  • Amy Edmondson's research on psychological safety

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Feedback Mastery AI skill do?

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

Why use Feedback Mastery on TypingMind?

Because you install it once and use it with any model. Feedback Mastery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Feedback Mastery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/feedback-mastery. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Feedback Mastery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Feedback Mastery?

As many as you like. As long as a model supports skills, you can use Feedback Mastery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Feedback Mastery AI skill free?

Yes. It is published on GitHub by softaworks under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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