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assistant-claw/skills/claw-email-parser/SKILL.md
Atlas refactor bd0be97630 Refactor: drop Vega framing, promote Atlas to repo root 
This repo IS Atlas (总助 Claw / 老板视角项目执行雷达). The earlier
two-profile framing (Atlas + Vega placeholder) was a misread — Vega is
the agent persona answering Multica issues, not the product. Vega has
no relationship to assistant-claw the product.

Changes:
- Move atlas/* to top-level (git mv preserves history)
- Remove empty Vega placeholders prompts/.gitkeep, tools/.gitkeep
- Delete atlas/ wrapper directory (now empty)
- Update path references in INTEGRATION-hermes.md, scripts/mirror-...sh,
  docs/decisions/0001-mirror-nuwa-skill.md
- Rewrite README.md as Atlas-only, remove dual-profile language

After this commit:
- Top-level OpenClaw 8 files (IDENTITY/SOUL/USER/AGENTS/TOOLS/MEMORY/
  BOOTSTRAP/HEARTBEAT + CLAUDE symlink + zh-CN mirrors)
- skills/{6 sub-skills + DESCRIPTION + README}
- mcp-tools/{spec + Python implementation}
- state-schemas/{project, person, customer + README}
- autopilots/{5 atlas-*.yaml}
- client-deck/, docs/decisions/, scripts/

The ~/.hermes/skills/atlas/ destination convention preserved (atlas as
a skill namespace on the operator's machine, distinct from source path).
2026-05-09 17:54:18 +08:00

2.7 KiB
Raw Blame History

name description version author license metadata
claw-email-parser Wraps the email-extractor MCP tool; orchestrates fetch → extract → write canonical Email JSON. The thin LLM layer that decides what to do with low-confidence extractions. 0.1.0 Moments / Atlas team MIT
hermes
category tags related_skills
atlas
email
imap
extraction
atlas
intake
claw-project-tracker
claw-people-observer
claw-customer-radar

claw-email-parser

Purpose

Atlas's intake skill. Given a date range, pull and extract emails into canonical JSON, surface anything the rule-based extractor was uncertain about, and let the LLM make a judgment call (or punt to the boss).

Inputs

  • since: ISO date — e.g. 2025-05-09 (V0 default = 12 months ago)
  • until: ISO date — e.g. today
  • mode: full_backfill | incremental (incremental reads state/.last_sync)

Outputs

  • N × state/extracted/YYYY-MM/<thread_id>/<msg_id>.json
  • Updated state/.last_sync
  • Run summary in state/runs/YYYY-MM-DD.extract.json with counts: fetched, extracted, failed, low_confidence_intents, new_customer_domains, new_alias_collisions

Judgment Rules (LLM layer)

The MCP tool handles 95% mechanically. The LLM layer handles:

  1. Intent classification ambiguity (confidence < 0.6) — read the message and call it
  2. Customer domain disambiguation — support@notify.clientco.com vs wang@clientco.com — same customer? boss-confirm or auto-merge based on org-name presence
  3. Alias merging proposals — when the same human appears under 2+ identities, propose a merge with evidence (signature line match, project overlap)
  4. Dequote escape hatch — if regex strategies leave a clearly garbage body_text_clean (e.g., 90% punctuation), retry with LLM-based dequoting

Failure Modes

Failure Behavior
Email server unreachable Retry with backoff; if 3 retries fail, write failure to run summary, exit gracefully
Single message extraction fails Skip + log, do not abort run
Quota / rate limit Exponential backoff; checkpoint progress to resume next run
LLM call fails Mark intent = unknown, low_confidence = true, continue

Sample I/O

Input: Run incremental from state/.last_sync = 2026-05-08T00:00:00Z

Output (run summary):

{
  "run_id": "2026-05-09T07:30:00Z-extract",
  "fetched": 47,
  "extracted_ok": 45,
  "extraction_failed": 2,
  "low_confidence_intents": 4,
  "new_customer_domains": ["@newprospect.io"],
  "new_alias_collisions": 1,
  "duration_ms": 31200
}

Dependencies

  • MCP tool: email-extractor (see mcp-tools/email-extractor.md)
  • State: read state/people/aliases.json, state/customers/domain_map.json