Colleague distillation (tool-backed)

• colleagues/{slug}/work.md
• colleagues/{slug}/persona.md
• colleagues/{slug}/meta.json
• colleagues/{slug}/SKILL.md (merged invocable skill)

Optional: Clone colleague-skill for its prompts/work_analyzer.md, persona_analyzer.md, work_builder.md, persona_builder.md if you want identical extraction templates; this skill defines what to fetch and where to write.

Prerequisites

1. Load tool_connections — $GENESIS_DIRECTORY/.genesis/skills/tool_connections/SKILL.md, or if GENESIS_DIRECTORY is unset use ~/git_repos/the-genesis/.genesis/skills/tool_connections/SKILL.md.
2. Load ~/git_repos/10xProductivity/verified_connections.md — only call tools listed there (or documented in 10xProductivity/tool_connections/ / personal/).
3. Load jira — $GENESIS_DIRECTORY/.genesis/skills/jira/SKILL.md or ~/git_repos/the-genesis/.genesis/skills/jira/SKILL.md for all Jira JQL and REST.
4. Credentials: source or load ~/git_repos/10xProductivity/.env (or project .env) before curl / scripts. Never commit secrets.

Cursor vs Claude Code

Use the same slug and folder layout in both; only the skill install path differs.

Slug rules

• Slug = unique directory name: michael_donnelly, michael_donnelly_2, … (ASCII, underscores).
• Collisions: Same slug overwrites an existing colleague folder. Disambiguate with _2, _3, or a distinct codename.
• Store display name and aliases in meta.json, not only in the slug.

Phase 1 — Resolve identity

Before searching, pin who the colleague is:

1. Active Directory (if configured in tool_connections): resolve email, manager chain, department — use for Jira/Slack account mapping when IDs are unknown.
2. Slack: From verified_connections.md, use Slack API recipes to resolve @handle → user id (U…) for from:@user / from:U… search syntax.
3. Jira: Resolve accountId (assignee, reporter, comment author) via Jira user search API — see jira skill.

Record: slack_user_id, jira_account_id, email, ad_cn (as available).

Phase 2 — Pull source material (priority order)

Gather raw excerpts (save under colleagues/{slug}/knowledge/raw/ as .md or .json snippets) with source + URL/ticket/channel + date in each chunk header. Cap volume per source (e.g. last 90–180 days) unless the user asks for full history.

Tier A — Highest signal for “how they work and sound”

Tier B — Depth and standards

Tier C — Optional / role-specific

Tier D — Do not rely on for persona without extra care

• Raw git blame without PR context — noisy.
• HR systems — use only for title/team if needed, not personality inference.

Phase 3 — Synthesize (work vs persona)

Work (work.md): Systems, stacks, coding/review conventions, doc habits, Jira/workflow patterns, incident/release behavior — cite patterns, not one-off jokes.

Persona (persona.md): Use a layered structure compatible with colleague-skill:

1. Layer 0 — Hard rules (non-negotiables: respect, no slurs, no real harassment simulation beyond professional friction the user explicitly asked for).
2. Identity — role, scope, team context.
3. Expression — vocabulary, sentence length, directness, humor.
4. Decisions — risk posture, escalation, “how they say no.”
5. Interpersonal — meetings, async, conflict.

Grounding: Prefer quoted paraphrases with source pointers; flag low-confidence traits when sample size is small.

Phase 4 — Write artifacts

meta.json (minimal)

{
  "name": "Display Name",
  "slug": "michael_donnelly",
  "created_at": "<ISO8601 UTC>",
  "updated_at": "<ISO8601 UTC>",
  "version": "v1",
  "profile": {
    "company": "",
    "level": "",
    "role": "",
    "email": ""
  },
  "ids": {
    "slack_user_id": "",
    "jira_account_id": ""
  },
  "knowledge_sources": ["slack", "jira", "ghe"],
  "corrections_count": 0
}

SKILL.md (invocable)

YAML frontmatter:

---