# timeline-markdown-notes

Extract timeline entries from Markdown operator notes.

- **Kind:** skill
- **Source:** https://github.com/SpecterOps/skills
- **Page:** https://forefy.com/skills/c0015a10-acae-4ae6-82fe-d8c79fdb9bb2
- **API (JSON + files):** https://forefy.com/api/asr/c0015a10-acae-4ae6-82fe-d8c79fdb9bb2

---

## SKILL.md

---
name: timeline-markdown-notes
description: Extract timeline entries from Markdown operator notes.
metadata:
  author: "GhostWorks"
---

# Timeline Markdown Notes Parser

Use when Markdown or plain text notes are provided for timeline consolidation.

## Input Contract
- Directory `input/notes/` with `.md`/`.txt` files containing timestamped entries, log-style notes, lists, or tables.

## Output
- Write `output/md_notes_entries.json` with normalized entries (timestamp, source, operator, action, details, raw_timestamp).

## Workflow
1. Detect timestamp patterns (ISO 8601, MM/DD/YYYY, DD/MM/YYYY, HH:MM:SS) across text and list entries.
2. Use filename-derived date/operator context when time-only entries appear.
3. Normalize UTC timestamps and assign `operator` from filename patterns (`operator1-notes`, etc.).
4. Treat lists/tables as multi-entry sequences and map bullet text to `action`/`details`.
5. Flag ambiguous entries for manual review and record `raw_timestamp`.

## Notes
- Prefer strict patterns but allow friendly heuristics (headers like `## 2024-01-15 Morning Session`).
- Provide fallback steps for entries missing time but containing keywords such as `recon`, `auth`, `exploit`.

## agents

```

```

## agents/openai.yaml

```yaml
interface:
  display_name: Timeline Markdown Notes
  short_description: Extract timeline entries from Markdown operator notes.
  icon_small: ./assets/icon.svg
  icon_large: ./assets/icon.png
  brand_color: '#8E92EB'
  default_prompt: Use $timeline-markdown-notes for this workflow.
policy:
  allow_implicit_invocation: true
```

## assets

```

```

## assets/icon.png

```

```

## assets/icon.svg

```

```