update▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Update Command
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Keep your task list and memory current. Two modes:
- Default: Sync tasks from external tools, triage stale items, check memory for gaps
--comprehensive: Deep scan chat, email, calendar, docs — flag missed todos and suggest new memories
Usage
/productivity:update
/productivity:update --comprehensive
Default Mode
1. Load Current State
Read TASKS.md and memory/ directory. If they don't exist, suggest /productivity:start first.
2. Sync Tasks from External Sources
Check for available task sources:
- Project tracker (e.g. Asana, Linear, Jira) (if MCP available)
- GitHub Issues (if in a repo):
gh issue list --assignee=@me
If no sources are available, skip to Step 3.
Fetch tasks assigned to the user (open/in-progress). Compare against TASKS.md:
| External task | TASKS.md match? | Action |
|---|---|---|
| Found, not in TASKS.md | No match | Offer to add |
| Found, already in TASKS.md | Match by title (fuzzy) | Skip |
| In TASKS.md, not in external | No match | Flag as potentially stale |
| Completed externally | In Active section | Offer to mark done |
Present diff and let user decide what to add/complete.
3. Triage Stale Items
Review Active tasks in TASKS.md and flag:
- Tasks with due dates in the past
- Tasks in Active for 30+ days
- Tasks with no context (no person, no project)
Present each for triage: Mark done? Reschedule? Move to Someday?
4. Decode Tasks for Memory Gaps
For each task, attempt to decode all entities (people, projects, acronyms, tools, links):
Task: "Send PSR to Todd re: Phoenix blockers"
Decode:
- PSR → ✓ Pipeline Status Report (in glossary)
- Todd → ✓ Todd Martinez (in people/)
- Phoenix → ? Not in memory
Track what's fully decoded vs. what has gaps.
5. Fill Gaps
Present unknown terms grouped:
I found terms in your tasks I don't have context for:
1. "Phoenix" (from: "Send PSR to Todd re: Phoenix blockers")
→ What's Phoenix?
2. "Maya" (from: "sync with Maya on API design")
→ Who is Maya?
Add answers to the appropriate memory files (people/, projects/, glossary.md).
6. Capture Enrichment
Tasks often contain richer context than memory. Extract and update:
- Links from tasks → add to project/people files
- Status changes ("launch done") → update project status, demote from CLAUDE.md
- Relationships ("Todd's sign-off on Maya's proposal") → cross-reference people
- Deadlines → add to project files
7. Report
Update complete:
- Tasks: +3 from project tracker (e.g. Asana), 1 completed, 2 triaged
- Memory: 2 gaps filled, 1 project enriched
- All tasks decoded ✓
Comprehensive Mode (--comprehensive)
Everything in Default Mode, plus a deep scan of recent activity.
Extra Step: Scan Activity Sources
Gather data from available MCP sources:
- Chat: Search recent messages, read active channels
- Email: Search sent messages
- Documents: List recently touched docs
- Calendar: List recent + upcoming events
Extra Step: Flag Missed Todos
Compare activity against TASKS.md. Surface action items that aren't tracked:
## Possible Missing Tasks
From your activity, these look like todos you haven't captured:
1. From chat (Jan 18):
"I'll send the updated mockups by Friday"
→ Add to TASKS.md?
2. From meeting "Phoenix Standup" (Jan 17):
You have a recurring meeting but no Phoenix tasks active
→ Anything needed here?
3. From email (Jan 16):
"I'll review the API spec this week"
→ Add to TASKS.md?
Let user pick which to add.
Extra Step: Suggest New Memories
Surface new entities not in memory:
## New People (not in memory)
| Name | Frequency | Context |
|------|-----------|---------|
| Maya Rodriguez | 12 mentions | design, UI reviews |
| Alex K | 8 mentions | DMs about API |
## New Projects/Topics
| Name | Frequency | Context |
|------|-----------|---------|
| Starlight | 15 mentions | planning docs, product |
## Suggested Cleanup
- **Horizon project** — No mentions in 30 days. Mark completed?
Present grouped by confidence. High-confidence items offered to add directly; low-confidence items asked about.
Notes
- Never auto-add tasks or memories without user confirmation
- External source links are preserved when available
- Fuzzy matching on task titles handles minor wording differences
- Safe to run frequently — only updates when there's new info
--comprehensivealways runs interactively
How to use update on Cursor
AI-first code editor with Composer
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 update
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches update from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate update. Access the skill through slash commands (e.g., /update) 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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★72 reviews- ★★★★★Jin Anderson· Dec 28, 2024
I recommend update for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Neel Haddad· Dec 24, 2024
We added update from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kofi Desai· Dec 24, 2024
update reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Neel Nasser· Dec 20, 2024
Keeps context tight: update is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Min Kim· Dec 16, 2024
update is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chaitanya Patil· Dec 8, 2024
Keeps context tight: update is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kofi Chawla· Dec 8, 2024
update fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Piyush G· Nov 27, 2024
update has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Min Huang· Nov 19, 2024
update reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Min Sanchez· Nov 19, 2024
We added update from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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