mcpbeat

Colleague Distillation

zhixiangluo/10xproductivity-colleague-distillation

Distill a colleague into a reusable AI skill (work + persona) using tool connections — Slack, Slack AI, Jira, GHE, Bitbucket, Confluence, SharePoint, Teams, Outlook, Notion, Linear, Google Docs, and more — without manual paste. Use when the user wants a colleague skill, digital twin of a coworker, or capture of someone's technical voice from workplace systems. Requires tool_connections + 10xProductivity verified_connections (or equivalent .env).

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
470
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/ZhixiangLuo/10xProductivity --skill colleague-distillation

The instruction itself

18 sections, as written by the author

> 10xProductivity skill: This file is the Cursor entry point for colleague distillation when working in this repo.

Colleague distillation (tool-backed)

Purpose

Produce a colleague skill: structured work knowledge (systems, standards, review style) plus persona (tone, decisions, interpersonal habits), using APIs and search already wired in tool_connections / 10xProductivity — not hand-pasted exports.

Output layout matches the open colleague-skill convention so results can coexist with that generator:

  • 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

  • Load the relevant 10xProductivity connection docs under tool_connections/ and any allowed private recipes under $TENX_PRIVATE_DIR/personal/.
  • Load $TENX_PRIVATE_DIR/verified_connections.md — only call tools listed there (or documented in 10xProductivity/tool_connections/ / personal/).
  • For Jira, use the verified Jira connection documentation and recipes in this repo.
  • Credentials: source or load $TENX_PRIVATE_DIR/.env (or project .env) before curl / scripts. Never commit secrets.

Cursor vs Claude Code

| Environment | Where to put generated files | How this skill is loaded |

|-------------|------------------------------|---------------------------|

| Cursor | Repo root: colleagues/{slug}/ | .cursor/skills/colleague-distillation/SKILL.md |

| Claude Code | Same colleagues/{slug}/ under the active project | .claude/skills/colleague-distillation/SKILL.md |

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:

  • Active Directory (if configured in tool_connections): resolve email, manager chain, department — use for Jira/Slack account mapping when IDs are unknown.
  • Slack: From verified_connections.md, use Slack API recipes to resolve @handle → user id (U…) for from:@user / from:U… search syntax.
  • 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”

| Source | What to fetch | Why |

|--------|----------------|-----|

| Slack | search.messages: from:user, date range, in:#relevant-channels; thread URLs they participated in | Tone, decisions, pushback, on-call voice |

| Slack AI (Slackbot DM) | Targeted questions: e.g. “Summarize how [Name] argues for design decisions in threads about [topic]” | Fast synthesis over large Slack corpus |

| Jira | JQL: assignee, reporter, comment ~, component/team filters; descriptions, comments, status transitions | Work scope, prioritization, written precision |

| GHE | PRs authored, reviewed (/pulls, review comments API); issues filed | Code review voice, technical standards |

| Bitbucket Server | Same pattern as GHE when Bitbucket Server is the primary Git host | Same |

Tier B — Depth and standards

| Source | What to fetch | Why |

|--------|----------------|-----|

| Confluence | Pages created by or substantially edited by them (CQL / search); team runbooks they own | Long-form standards, architecture voice |

| Notion | Pages they authored or commented on | Long-form async thinking, project context |

| SharePoint | Docs and wikis they own or edited | Standards docs, team handbooks |

Tier C — Optional / role-specific

| Source | When |

|--------|------|

| Google Drive | Docs/slides they own (if verified in verified_connections.md) |

| PagerDuty | Oncall/incident behavior |

| Console / IAHub | Release/ops ownership if building an ops-heavy persona |

| Microsoft Teams / Outlook | If verified — email/thread tone (handle consent carefully) |

| Gmail (personal recipe) | Only if user explicitly wants email and connection is verified |

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:

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

---
name: colleague_{slug}
description: "<Name> — distilled work + persona (tool-sourced)."
user-invocable: true
---

Body: short intro + full work.md + full persona.md + run rules:

  • Persona decides attitude; work block executes the task.
  • Output matches persona expression.
  • Layer 0 never violated.

Optional: also write work_skill.md / persona_skill.md with names colleague_{slug}_work / colleague_{slug}_persona if your host expects split invocations (see colleague-skill skill_writer.py).


  • Build skills only for legitimate work purposes and policy-compliant use of company tools.
  • Do not exfiltrate secrets, PII bundles, or restricted content into colleagues/ — redact tokens, customer data, and health/financial identifiers.
  • When unsure whether content is allowed in a repo, ask the user before writing.

Outputs checklist

  • [ ] colleagues/{slug}/ created with knowledge/raw/ containing sourced excerpts
  • [ ] work.md and persona.md complete
  • [ ] meta.json with ids and source list
  • [ ] SKILL.md merged and invocable
  • [ ] User told how to invoke (/{slug} or host-specific command) and how to disambiguate duplicates (_2, _3)

  • team_learner — team/domain bootstrap (similar tool sweep, different output shape).
  • skill_creation — promote reusable methodology after validation.
  • jira, tool_connections — all authenticated access.

How to use it

Copy the folder

Take zhixiangluo/10xproductivity-colleague-distillation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.