difficult-workplace-conversations

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill difficult-workplace-conversations
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summary

A structured framework for approaching challenging workplace conversations including conflicts, performance issues, sensitive feedback, and emotionally charged discussions.

skill.md

Difficult Conversations Skill

A structured framework for approaching challenging workplace conversations including conflicts, performance issues, sensitive feedback, and emotionally charged discussions.

When to Use This Skill

  • Preparing for a challenging conversation with a colleague
  • Addressing performance issues with a team member
  • Delivering difficult feedback to a peer or manager
  • Navigating conflict between team members
  • Discussing sensitive topics (salary, promotion, termination)
  • Handling emotional or defensive reactions
  • Following up after difficult discussions

Core Framework: Preparation-Delivery-Followup

Difficult conversations succeed or fail based on three phases:

Phase 1: Preparation (Before)

Purpose: Set yourself up for a productive conversation

  1. Clarify the Issue

    • What specifically happened? (Observable facts only)
    • What is the impact? (On you, team, work)
    • What do you need to change?
  2. Check Your Emotions

    • What am I feeling? Why?
    • Am I calm enough to have this conversation?
    • What might trigger me during this conversation?
  3. Consider Their Perspective

    • How might they see this situation?
    • What constraints or pressures might they have?
    • What do they care about that I can acknowledge?
  4. Define Your Goal

    • What outcome do I want?
    • What is the minimum acceptable result?
    • What am I willing to compromise on?

Phase 2: Delivery (During)

Purpose: Have the conversation effectively

  1. Open Neutrally

    • Start with facts, not judgments
    • Express intent to understand, not accuse
    • Create psychological safety
  2. Share Your Perspective

    • Describe behavior, not character
    • Focus on impact, not intention
    • Use "I" statements, not "you always"
  3. Listen Actively

    • Ask clarifying questions
    • Acknowledge their viewpoint
    • Look for shared interests
  4. Seek Resolution

    • Propose specific actions
    • Agree on next steps
    • Set check-in timeline

Phase 3: Followup (After)

Purpose: Ensure lasting resolution

  1. Document Agreements

    • What was agreed?
    • Who does what by when?
    • How will you measure success?
  2. Check Progress

    • Follow up as promised
    • Acknowledge improvements
    • Address continued issues promptly
  3. Maintain Relationship

    • Separate issue from person
    • Rebuild trust over time
    • Watch for regression

Key Principles

Separate Impact from Intent

What happened: Observable behavior What I felt: Your emotional response What I assume: Their intention (often wrong)

Focus conversation on behavior and impact, not assumed intentions.

The SBI Model

Situation: When and where did this happen? Behavior: What specifically did they do/say? Impact: What was the effect on you, the team, or the work?

Managing Emotions

If You Feel Before Acting
Angry Wait 24 hours, write but don't send
Hurt Talk to neutral party first
Anxious Practice the conversation
Defensive Identify your contribution

When to Escalate

Escalate when:

  • Safety is at risk
  • Legal issues involved
  • Repeated conversations haven't worked
  • Power dynamics prevent resolution
  • You need documentation

Conversation Types

Performance Feedback

  • Lead with specific examples
  • Connect to expectations/standards
  • Focus on future improvement
  • Offer support and resources

Conflict Resolution

  • Hear both sides separately first
  • Identify underlying interests
  • Look for win-win solutions
  • Document agreements

Sensitive Topics

  • Choose private, neutral setting
  • Allow time for processing
  • Be direct but compassionate
  • Respect confidentiality

Receiving Feedback

  • Thank them for feedback
  • Ask clarifying questions
  • Don't defend immediately
  • Reflect before responding

References (Load When Needed)

Detailed Frameworks

See Also

  • feedback-mastery skill - SBI feedback model (overlaps but more feedback-focused)
  • professional-effective-communication skill - General communication patterns

Example Scenarios

Scenario 1: Addressing Missed Deadlines

**Issue:** Team member missed 3 deadlines in past month
**Impact:** Project delayed, others blocked
**Goal:** Understand root cause, agree on prevention plan

**Opening:** "I wanted to check in about the recent deliverables. I've noticed
the last three have come in past deadline, and I'd like to understand what's
happening and how we can address it together."

Scenario 2: Peer Conflict

**Issue:** Colleague publicly criticized your work in meeting
**Impact:** Embarrassed, trust damaged
**Goal:** Address behavior, rebuild working relationship

**Opening:** "I'd like to talk about what happened in yesterday's standup.
When you said my code 'missed obvious issues,' I felt called out in front
of the team. I'd like to understand your concerns and find a better way
to handle code quality feedback."

Scenario 3: Asking Manager for Raise

**Issue:** Feel underpaid relative to market/contribution
**Impact:** Demotivation, considering leaving
**Goal:** Discuss compensation, get timeline or adjustment

**Opening:** "I'd like to discuss my compensation. I've been here two years,
taken on the payments project leadership, and want to make sure my salary
reflects my contributions and the current market."

Anti-Patterns to Avoid

In Preparation

  • Scripting every word - You'll sound robotic; prepare themes, not scripts
  • Building a case - This isn't a trial; seek understanding, not winning
  • Waiting too long - Issues compound; address promptly

In Delivery

  • Starting with "You always..." - Triggers defensiveness immediately
  • Burying the lead - Get to the point; don't soften excessively
  • Asking leading questions - "Don't you think..." isn't asking

In Followup

  • Forgetting to check in - Without follow-up, nothing changes
  • Holding grudges - Issue resolved means relationship continues
  • Over-documenting - Not everything needs written record

Success Metrics

A successful difficult conversation:

  • Both parties feel heard
  • Specific actions are agreed
  • Relationship is preserved or improved
  • The issue doesn't recur (or has clear escalation)
  • Neither party is blindsided later
how to use difficult-workplace-conversations

How to use difficult-workplace-conversations on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add difficult-workplace-conversations
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill difficult-workplace-conversations

The skills CLI fetches difficult-workplace-conversations from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/difficult-workplace-conversations

Reload or restart Cursor to activate difficult-workplace-conversations. Access the skill through slash commands (e.g., /difficult-workplace-conversations) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.853 reviews
  • Kofi Ramirez· Dec 20, 2024

    Useful defaults in difficult-workplace-conversations — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Dec 16, 2024

    Solid pick for teams standardizing on skills: difficult-workplace-conversations is focused, and the summary matches what you get after install.

  • Meera Diallo· Dec 8, 2024

    difficult-workplace-conversations has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Farah· Dec 8, 2024

    difficult-workplace-conversations reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Li Sanchez· Nov 27, 2024

    difficult-workplace-conversations fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yusuf Singh· Nov 27, 2024

    I recommend difficult-workplace-conversations for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Meera Zhang· Nov 19, 2024

    Keeps context tight: difficult-workplace-conversations is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Zara Mensah· Nov 11, 2024

    Registry listing for difficult-workplace-conversations matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 7, 2024

    We added difficult-workplace-conversations from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Oct 26, 2024

    difficult-workplace-conversations fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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