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extension
分类: AI Agent 能力无需 API Key

gtd

从GTD.md条目中自主执行任务。在处理GTD任务时使用,可以调用预备、外展或播客准备等功能。

person作者: jakexiaohubgithub

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.