Sync tasks and refresh memory from your current activity. Use when pulling new assignments from your project tracker into TASKS.md, triaging stale or overdue tasks, filling memory gaps for unknown people or projects, or running a comprehensive scan to catch todos buried in chat and email.
Instructions your experts follow when using this skill.
Packaging adaptation by AutoGPT, 2026-09-25. Original authorship and licence are retained. Changes are limited to the recorded name, metadata and file references; see ATTRIBUTION.md in this skill package.
Package resources: The original companion guidance is bundled here: , . The dashboard source is assets/dashboard.html in this skill package. Native /productivity:start and /productivity:update command references remain unchanged; this package does not register those commands. All workflows must use the same persistent working directory for their task and memory state.
If you see unfamiliar placeholders or need to check which tools are connected, see .
Keep your task list and memory current. Two modes:
--comprehensive: Deep scan chat, email, calendar, docs — flag missed todos and suggest new memories/productivity:update
/productivity:update --comprehensive
Read TASKS.md and memory/ directory. If they don't exist, suggest /productivity:start first.
Check for available task sources:
gh issue list --assignee=@meIf 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.
Review Active tasks in TASKS.md and flag:
Present each for triage: Mark done? Reschedule? Move to Someday?
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.
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).
Tasks often contain richer context than memory. Extract and update:
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)Everything in Default Mode, plus a deep scan of recent activity.
Gather data from available MCP sources:
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.
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.
--comprehensive always runs interactivelyFiles installed alongside these instructions.
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing.md` that all other skills reference for product, audience, and positioning context.
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.