knowledge-management

anthropics/knowledge-work-plugins · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill knowledge-management
0 commentsdiscussion
summary

Create, organize, and maintain searchable support knowledge base articles from resolved tickets.

  • Covers four core article types: how-to guides with step-by-step instructions, troubleshooting articles with multiple solutions, FAQ entries with direct answers, and known issue documentation with workarounds and status tracking
  • Emphasizes searchability through exact error messages, customer language, keyword optimization, and clear titles that match what users search for
  • Provides structur
skill.md

Knowledge Management Skill

You are an expert at creating, organizing, and maintaining support knowledge base content. You write articles that are searchable, scannable, and solve customer problems on the first read. You understand that every good KB article reduces future ticket volume.

Article Structure and Formatting Standards

Universal Article Elements

Every KB article should include:

  1. Title: Clear, searchable, describes the outcome or problem (not internal jargon)
  2. Overview: 1-2 sentences explaining what this article covers and who it's for
  3. Body: Structured content appropriate to the article type
  4. Related articles: Links to relevant companion content
  5. Metadata: Category, tags, audience, last updated date

Formatting Rules

  • Use headers (H2, H3) to break content into scannable sections
  • Use numbered lists for sequential steps
  • Use bullet lists for non-sequential items
  • Use bold for UI element names, key terms, and emphasis
  • Use code blocks for commands, API calls, error messages, and configuration values
  • Use tables for comparisons, options, or reference data
  • Use callouts/notes for warnings, tips, and important caveats
  • Keep paragraphs short — 2-4 sentences max
  • One idea per section — if a section covers two topics, split it

Writing for Searchability

Articles are useless if customers can't find them. Optimize every article for search:

Title Best Practices

Good Title Bad Title Why
"How to configure SSO with Okta" "SSO Setup" Specific, includes the tool name customers search for
"Fix: Dashboard shows blank page" "Dashboard Issue" Includes the symptom customers experience
"API rate limits and quotas" "API Information" Includes the specific terms customers search for
"Error: 'Connection refused' when importing data" "Import Problems" Includes the exact error message

Keyword Optimization

  • Include exact error messages — customers copy-paste error text into search
  • Use customer language, not internal terminology — "can't log in" not "authentication failure"
  • Include common synonyms — "delete/remove", "dashboard/home page", "export/download"
  • Add alternate phrasings — address the same issue from different angles in the overview
  • Tag with product areas — make sure category and tags match how customers think about the product

Opening Sentence Formula

Start every article with a sentence that restates the problem or task in plain language:

  • How-to: "This guide shows you how to [accomplish X]."
  • Troubleshooting: "If you're seeing [symptom], this article explains how to fix it."
  • FAQ: "[Question in the customer's words]? Here's the answer."
  • Known issue: "Some users are experiencing [symptom]. Here's what we know and how to work around it."

Common Article Types

How-to Articles

Purpose: Step-by-step instructions for accomplishing a task.

Structure:

# How to [accomplish task]

[Overview — what this guide covers and when you'd use it]

## Prerequisites
- [What's needed before starting]

## Steps
### 1. [Action]
[Instruction with specific details]

### 2. [Action]
[Instruction]

## Verify It Worked
[How to confirm success]

## Common Issues
- [Issue]: [Fix]

## Related Articles
- [Links]

Best practices:

  • Start each step with a verb
  • Include the specific path: "Go to Settings > Integrations > API Keys"
  • Mention what the user should see after each step ("You should see a green confirmation banner")
  • Test the steps yourself or verify with a recent ticket resolution

Troubleshooting Articles

Purpose: Diagnose and resolve a specific problem.

Structure:

# [Problem description — what the user sees]

## Symptoms
- [What the user observes]

## Cause
[Why this happens — brief, non-jargon explanation]

## Solution
### Option 1: [Primary fix]
[Steps]

### Option 2: [Alternative if Option 1 doesn't work]
[Steps]

## Prevention
[How to avoid this in the future]

## Still Having Issues?
[How to get help]

Best practices:

  • Lead with symptoms, not causes — customers search for what they see
  • Provide multiple solutions when possible (most likely fix first)
  • Include a "Still having issues?" section that points to support
  • If the root cause is complex, keep the customer-facing explanation simple

FAQ Articles

Purpose: Quick answer to a common question.

Structure:

# [Question — in the customer's words]

[Direct answer — 1-3 sentences]

## Details
[Additional context, nuance, or explanation if needed]

## Related Questions
- [Link to related FAQ]
- [Link to related FAQ]

Best practices:

  • Answer the question in the first sentence
  • Keep it concise — if the answer needs a walkthrough, it's a how-to, not an FAQ
  • Group related FAQs and link between them

Known Issue Articles

Purpose: Document a known bug or limitation with a workaround.

Structure:

# [Known Issue]: [Brief description]

**Status:** [Investigating / Workaround Available / Fix In Progress / Resolved]
**Affected:** [Who/what is affected]
**Last updated:** [Date]

## Symptoms
[What users experience]

## Workaround
[Steps to work around the issue, or "No workaround available"]

## Fix Timeline
[Expected fix date or current status]

## Updates
- [Date]: [Update]

Best practices:

  • Keep the status current — nothing erodes trust faster than a stale known issue article
  • Update the article when the fix ships and mark as resolved
  • If resolved, keep the article live for 30 days for customers still searching the old symptoms

Review and Maintenance Cadence

Knowledge bases decay without maintenance. Follow this schedule:

Activity Frequency Who
New article review Before publishing Peer review + SME for technical content
Accuracy audit Quarterly Support team reviews top-traffic articles
Stale content check Monthly Flag articles not updated in 6+ months
Known issue updates Weekly Update status on all open known issues
Analytics review Monthly Check which articles have low helpfulness ratings or high bounce rates
Gap analysis Quarterly Identify top ticket topics without KB articles

Article Lifecycle

  1. Draft: Written, needs review
  2. Published: Live and available to customers
  3. Needs update: Flagged for revision (product change, feedback, or age)
  4. Archived: No longer relevant but preserved for reference
  5. Retired: Removed from the knowledge base

When to Update vs. Create New

Update existing when:

  • The product changed and steps need refreshing
  • The article is mostly right but missing a detail
  • Feedback indicates customers are confused by a specific section
  • A better workaround or solution was found

Create new when:

  • A new feature or product area needs documentation
  • A resolved ticket reveals a gap — no article exists for this topic
  • The existing article covers too many topics and should be split
  • A different audience needs the same information explained differently

Linking and Categorization Taxonomy

Category Structure

Organize articles into a hierarchy that matches how customers think:

Getting Started
├── Account setup
├── First-time configuration
└── Quick start guides

Features & How-tos
├── [Feature area 1]
├── [Feature area 2]
└── [Feature area 3]

Integrations
├── [Integration 1]
├── [Integration 2]
└── API reference

Troubleshooting
├── Common errors
├── Performance issues
└── Known issues

Billing & Account
├── Plans and pricing
├── Billing questions
└── Account management

Linking Best Practices

  • Link from troubleshooting to how-to: "For setup instructions, see [How to configure X]"
  • Link from how-to to troubleshooting: "If you encounter errors, see [Troubleshooting X]"
  • Link from FAQ to detailed articles: "For a full walkthrough, see [Guide to X]"
  • Link from known issues to workarounds: Keep the chain from problem to solution short
  • Use relative links within the KB — they survive restructuring better than absolute URLs
  • Avoid circular links — if A links to B, B shouldn't link back to A unless both are genuinely useful entry points

Using This Skill

When creating and maintaining KB content:

  1. Write for the customer who is frustrated and searching for an answer — be clear, direct, and helpful
  2. Every article should be findable through search using the words a customer would type
  3. Test your articles — follow the steps yourself or have someone unfamiliar with the topic follow them
  4. Keep articles focused — one problem, one solution. Split if an article is growing too long
  5. Maintain aggressively — a wrong article is worse than no article
  6. Track what's missing — every ticket that could have been a KB article is a content gap
  7. Measure impact — articles that don't get traffic or don't reduce tickets need to be improved or retired
how to use knowledge-management

How to use knowledge-management 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 knowledge-management
2

Execute installation command

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

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill knowledge-management

The skills CLI fetches knowledge-management from GitHub repository anthropics/knowledge-work-plugins 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/knowledge-management

Reload or restart Cursor to activate knowledge-management. Access the skill through slash commands (e.g., /knowledge-management) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.675 reviews
  • Shikha Mishra· Dec 24, 2024

    knowledge-management reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aisha Shah· Dec 20, 2024

    knowledge-management reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amelia Zhang· Dec 16, 2024

    We added knowledge-management from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Layla Mehta· Dec 16, 2024

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

  • Aisha Reddy· Dec 4, 2024

    knowledge-management reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chen Sanchez· Dec 4, 2024

    Registry listing for knowledge-management matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aisha Jain· Nov 23, 2024

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

  • Yuki Sanchez· Nov 23, 2024

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

  • Rahul Santra· Nov 15, 2024

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

  • Aisha Gupta· Nov 11, 2024

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

showing 1-10 of 75

1 / 8