This adds the full Atlas (总助 Claw / 老板视角项目执行雷达) scaffolding as a sibling profile to the existing Vega general-purpose assistant. All Atlas content lives under atlas/ to keep the existing top-level skeleton intact. What's included: - atlas/IDENTITY.md, SOUL.md, USER.md, AGENTS.md, MEMORY.md, BOOTSTRAP.md, HEARTBEAT.md, TOOLS.md (+ zh-CN mirrors) — full OpenClaw 8-piece set matching the zero-cca convention - atlas/skills/ — 6 sub-skills with frontmatter: claw-email-parser / claw-project-tracker / claw-people-observer / claw-customer-radar / claw-boss-distiller / claw-report-writer - atlas/skills/claw-boss-distiller/ — adapter notes for nuwa-skill, 5-layer boss_skill seed template (23 rules across Expression DNA / Mental Models / Decision Heuristics / Anti-Patterns / Honest Boundaries), and a complete synthetic distillation demo (10 input emails -> validated 5-layer output) - atlas/mcp-tools/email-extractor/ — Python implementation of stages 1-3 (fetch + decode + dequote), 7 pytest tests passing, CLI: atlas-extract - atlas/state-schemas/ — formal JSON schemas for project / person / customer cards with the no-employee-rating hard constraint baked in - atlas/client-deck/ — 2-page client-facing pitch document - autopilots/atlas-*.yaml — 5 autopilot configs (daily / weekly / monthly / quarterly + andon event-triggered) for a future Multica-side scheduler Notes: - nuwa-skill (MIT, https://github.com/alchaincyf/nuwa-skill) NOT vendored; fetch at deploy time via instructions in atlas/skills/claw-boss-distiller/upstream/README.md - Vega-side prompts/skills/tools/autopilots/docs scaffold left untouched - Top-level README.md updated with a brief Atlas pointer; rest preserved
114 lines
4.1 KiB
Markdown
114 lines
4.1 KiB
Markdown
---
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name: claw-people-observer
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description: Compute observation cards for each person — project density, response time, BARS behavior tags, CCAR critical incidents, ONA centrality, 9-Box performance dimension. NEVER assigns potential or final ratings — those are boss-only.
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---
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# claw-people-observer
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## Purpose
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Build the people layer of Atlas. For each internal person who appears in the email graph, compute a multi-framework observation card. Surface signals to the boss; never write verdicts.
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## Hard Boundary
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This skill **does not assign**:
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- 9-Box potential dimension (boss only)
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- A/B/C player labels (boss only)
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- Performance Improvement Plan triggers (boss only)
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- Hire/fire recommendations (always boss)
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This skill **does compute**:
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- Activity-based metrics (active project count, stalled ratio, response time)
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- Behavior tags with BARS anchors and email-ID evidence
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- CCAR critical incidents (auto-detected positive + negative events)
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- ONA centrality (information broker score, isolation index)
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The 9-Box performance dimension is auto-estimated as a *suggestion* (with a "boss to confirm" flag); never as a final answer.
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## Inputs
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- Updated Email JSON since last run
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- `state/projects/*.json` (for project-density and stall-ratio computation)
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- `boss_skill.md` (BARS anchors live in the Decision Heuristics layer)
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## Outputs
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- `state/people/<name>.json` (see schema)
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- Append to `state/audit/people_signals.csv` for each new behavior tag
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## Computation Notes
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### Project density / stalled ratio
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- Density = count of distinct project_ids where person appears in last 30 days
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- Stalled ratio = stalled_projects / active_projects
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- Threshold for "overload" warning: density > 6 AND stalled_ratio > 0.3
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### Response time
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- For threads where person is Responsible, compute median time between (boss/customer message asking for action) → (their reply)
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- Surface only the median; do not surface individual slow replies (avoid micro-management trap)
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### BARS tags
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- Pull anchor list from `boss_skill.md > Decision Heuristics`
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- For each tag, scan recent thread events for matching anchor text or pattern
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- Always include source email ID
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### CCAR critical incidents
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- Auto-detect: project completion ahead of schedule, customer-side praise, customer-side complaint, escalation refused, deadline missed
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- Window: rolling 30 days
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### ONA centrality
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- Build directed graph: from→to+cc per email, weight = message count
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- Compute betweenness centrality + degree centrality + isolation index (= 1 / unique_correspondents)
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- Refresh weekly (heavy compute), cache in `state/people/_ona_cache.json`
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### 9-Box auto-estimate
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- Performance dimension: composite of (completion rate, response time, customer-side sentiment when this person is Responsible)
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- Potential dimension: **never auto-estimated**; field is `null` until boss writes it
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## Failure Modes
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| Failure | Behavior |
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|---------|---------|
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| Person has no Responsible projects | Card still created with sparse data; flag `data_sparse: true` |
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| Identity collision suspected | Surface in `state/people/_to_merge.json`; do not auto-merge |
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| Boss explicitly disagrees with a behavior tag | Tag retired; rule that produced it surfaces in next quarterly distillation review |
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## Sample Output
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```json
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{
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"name": "张三",
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"产出指标": {
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"active_projects": 8,
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"completed_30d": 2,
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"stalled_ratio": 0.375,
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"avg_response_hours": 27,
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"客户主动催办次数_30d": 4
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},
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"行为标签_BARS": [
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{
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"维度": "主动性",
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"锚点": "客户首次催才回应",
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"评分": 2,
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"依据邮件": ["msg-abc"],
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"rule_ref": "BARS-proactivity-3"
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}
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],
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"关键事件_CCAR_30d": [
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{"date": "2026-04-22", "事件": "PRJ-001 客户投诉,未升级", "性质": "负向", "source_email_ids": ["msg-xyz"]}
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],
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"网络中心度_ONA": {
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"信息中介度": 0.42,
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"孤立指数": 0.18,
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"解读": "中等枢纽,未被孤立"
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},
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"9_box_自动估": {
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"performance": "中下",
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"潜力": null,
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"建议象限": "Solid Performer 或 Underperformer,看潜力定",
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"boss_to_confirm": true
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},
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"Topgrading_建议": null
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}
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```
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