GTD Runner Skill

Autonomous task execution from GTD.md items.

Trigger

• Command:

  /cyber-gtd

• Default: plan-first (show before execute)

Workflow

1. Read

   @GTD.md

   → extract items from

   # Next

2. For each item:
   • Classify → match pattern to workflow
   • Lookup entities via database:

     bun scripts/db/query.ts find-entity "<name>"

   • Plan actions
3. Show plan → ask to execute
4. Execute approved items sequentially (one at a time)
5. Output:

   ~/CybosVault/private/content/work/MMDD-<slug>.md

Classification → Routing

Pattern	Confidence	Workflow
"ask for call", "message", "email", "reach out"	High	→ workflows/outreach.md
"call with", "meeting", "X <> Y", "sync"	High	→ workflows/call-prep.md
"podcast"	High	→ workflows/podcast.md
company name, "research", "DD", "look into"	Medium	→ workflows/research.md
no match	Low	Best judgment → log to learnings.md

Entity Lookup

Query database for entity context:

1. Parse item for names (people, companies)
2. Run:

   bun scripts/db/query.ts find-entity "<name>" --json

3. If found, get full context:

   bun scripts/db/query.ts entity <slug> --json

4. Entity context includes:
   • Recent interactions (calls, emails, telegram)
   • Deal associations
   • Pending items
5. If not found + confident it's an entity:
   • High confidence (company with domain) → auto-create stub
   • Medium confidence → ask: "Create entity file for X?"

Output Format

All outputs to

~/CybosVault/private/content/work/MMDD-<slug>.md

:

# Task: [Task Description]

**Status:** Pending Approval | Completed | Incomplete
**Created:** YYYY-MM-DD HH:MM
**GTD Item:** [Original text from GTD.md]
**Workflow:** [Which workflow handled this]

---

## Context

**Entity:** [Name]
- Type: [person/org]
- Deal: [link if exists]
- Previous calls: [N calls found]

**Key Info:**
[Relevant context from calls, deals, entity files]

---

## Draft

[Message/agenda/questions/etc]

---

## Pending Actions

- [ ] Send via Gmail to email@example.com
- [ ] Alternative: Telegram @handle

---

## Execution Log

- HH:MM - [action taken]

Staged Execution

Agent completes what it can autonomously:

• Research and context gathering
• Draft creation
• Preparation work

Then queues actions requiring approval:

• Sending messages (Gmail, Telegram)
• Scheduling meetings
• Any external action

Suggestions

When processing tasks, if you notice 3+ similar patterns that don't have a dedicated workflow, suggest: "I've seen '[pattern]' multiple times. Want me to create a workflow for it?"

Self-Improvement

Log all task executions to

@learnings.md

for pattern analysis.