Agent skill · AI & Agents

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.

Softaworks2,247★ · +27/wk · 1 repos on radarProfile →
claude-coderead-onlyMIT
Install
npx skills add softaworks/agent-toolkit --skill feedback-mastery --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 11 KB
Bundled scripts: none
Allowed tools: ReadGlobGrep
Path: skills/feedback-mastery/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,276 · +29 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 prepa

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About this skill
What does the feedback-mastery 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.

How do I install it?

Run `npx skills add softaworks/agent-toolkit --skill feedback-mastery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From softaworks/agent-toolkit, a repository with 2,276 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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