GTD Runner Skill

SkillMedia

Autonomous task execution from GTD.md items. Use when processing GTD tasks, call prep, outreach, or podcast preparation.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the GTD Runner Skill skill

What this skill tells your AI

The instructions your AI receives, as published by gerstep/cybos in .claude/skills/GTD/SKILL.md and read by ahel’s review.

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

PatternConfidenceWorkflow
"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 matchLowBest 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.

Signals

GitHub stars
105
Forks
22
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
gtd
Source
github.com/gerstep/cybos