Airweave
CraftOS-dev/CraftBot
Context retrieval layer for AI agents across users' applications.
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…
Install Colleague Distillation
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/colleague-distillation .claude/skills/colleague-distillation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .claude/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/colleague-distillation .agents/skills/colleague-distillation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .agents/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/colleague-distillation .cursor/skills/colleague-distillation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .cursor/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZhixiangLuo/10xProductivity.git --path .claude/skills/colleague-distillation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/colleague-distillation .gemini/skills/colleague-distillation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .gemini/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/colleague-distillation .github/skills/colleague-distillation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .github/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZhixiangLuo/10xProductivity colleague-distillation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZhixiangLuo/10xProductivity.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/colleague-distillation .opencode/skills/colleague-distillation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "colleague-distillation" agent skill from https://github.com/ZhixiangLuo/10xProductivity/tree/main/.claude/skills/colleague-distillation into .opencode/skills/colleague-distillation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colleague-distillation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
colleague-distillation- GitHub stars
- 479
- Token cost
- ~2.1k tokens
- SKILL.md length
- 846 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 4 steps: Resolve identity → Pull source material (priority order) → Synthesize (work vs persona) → …
- The user wants a colleague skill
- SKILL.md covers Purpose, Prerequisites, Cursor vs Claude Code and Slug rules, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Colleague Distillation is an agent skill from ZhixiangLuo/10xProductivity. 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 toolconnections + 10xProductivity verifiedconnections (or equivalent .env).
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Cloud office suites. It works with Jira, Slack, Confluence and Bitbucket. The repository describes itself as: Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have. The licence is MIT.
When your agent uses it
- The user wants a colleague skill
- Digital twin of a coworker
- Capture of someones technical voice from workplace systems
Example prompts
- “/colleague-distillation”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9a7da40. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Colleague Distillation loads about 2.1k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 846 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:3
vity verified_connections (or equivalent .env). - NoteMentions a .env fileSKILL.md:30
** `source` or load **`$TENX_PRIVATE_DIR/.env`** (or project `.env`) before `curl` / scripts. Never commit secrets.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZhixiangLuo/10xProductivity at commit 9a7da40, republished under its MIT licence (© ZhixiangLuo). 846 words, ~2,148 tokens.
Download SKILL.mdSave it as
.claude/skills/colleague-distillation/SKILL.md (or your agent's skills folder).- name
- colleague-distillation
- description
- 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).
10xProductivity skill: This file is the Claude Code 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.mdcolleagues/{slug}/persona.mdcolleagues/{slug}/meta.jsoncolleagues/{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
$TENX_PRIVATE_DIR/verified_connections.md— only call tools listed there (or documented in10xProductivity/tool_connections//personal/). - For Jira, use the verified Jira connection documentation and recipes in this repo.
- Credentials:
sourceor load$TENX_PRIVATE_DIR/.env(or project.env) beforecurl/ 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…) forfrom:@user/from:U…search syntax. - Jira: Resolve accountId (assignee, reporter, comment author) via Jira user search API — see
jiraskill.
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 |
Show full SKILL.md (339 more words)Show less
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).
Consent and safety
- 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 withknowledge/raw/containing sourced excerpts -
work.mdandpersona.mdcomplete -
meta.jsonwith ids and source list -
SKILL.mdmerged and invocable - User told how to invoke (
/{slug}or host-specific command) and how to disambiguate duplicates (_2,_3)
Related skills
team_learner— team/domain bootstrap (similar tool sweep, different output shape).skill_creation— promote reusable methodology after validation.jira,tool_connections— all authenticated access.
© ZhixiangLuo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/colleague-distillation of ZhixiangLuo/10xProductivity.
Open the folder on GitHubat commit 9a7da40
Compare with similar skills
Colleague Distillation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Colleague Distillation this skillZhixiangLuo/10xProductivity | 479 | — | ~2.1k | Automated safety check: Notes | MIT | |
| AirweaveCraftOS-dev/CraftBot | 392 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Learniurykrieger/claude-bedrock | 105 | — | ~6.5k | Automated safety check: Notes | MIT | |
| Exportai-analyst-lab/ai-analyst | 304 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Teachccplugins/awesome-claude-code-plugins | 970 | — | ~5.9k | Automated safety check: Notes | Apache-2.0 | |
| Meeting Preptechwolf-ai/ai-first-toolkit | 132 | — | ~1k | Automated safety check: Pass | MIT |
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Categories
Questions about Colleague Distillation
What does Colleague Distillation do?
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…. Colleague Distillation is an agent skill from ZhixiangLuo/10xProductivity. 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.
When should I use Colleague Distillation?
Colleague Distillation fits situations like: the user wants a colleague skill; digital twin of a coworker; capture of someones technical voice from workplace systems.
How do I install Colleague Distillation in Claude Code?
Run `npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a claude-code`. Or copy the skill folder (.claude/skills/colleague-distillation in ZhixiangLuo/10xProductivity) into .claude/skills/colleague-distillation in your project. Claude Code loads it when a task matches its description.
How do I install Colleague Distillation in Codex?
Run `npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a codex`. Or copy the skill folder (.claude/skills/colleague-distillation in ZhixiangLuo/10xProductivity) into .agents/skills/colleague-distillation in your project. Codex loads it when a task matches its description.
Can I use Colleague Distillation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZhixiangLuo/10xProductivity --skill colleague-distillation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/colleague-distillation, .gemini/skills/colleague-distillation, .github/skills/colleague-distillation and .opencode/skills/colleague-distillation in your project.
What does Colleague Distillation need to run?
SKILL.md names no scripts, command-line tools or credentials: Colleague Distillation is instructions for the agent only.
Does Colleague Distillation access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Colleague Distillation safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Colleague Distillation use?
Colleague Distillation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Colleague Distillation use?
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Colleague Distillation?
Skills that share tags, products or a category with Colleague Distillation: Airweave (CraftOS-dev/CraftBot, 392 stars), Learn (iurykrieger/claude-bedrock, 105 stars), Export (ai-analyst-lab/ai-analyst, 304 stars) and Teach (ccplugins/awesome-claude-code-plugins, 970 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Colleague Distillation?
ZhixiangLuo (a GitHub user) maintains it in ZhixiangLuo/10xProductivity, which has 479 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 13, 2026.
Source: ZhixiangLuo/10xProductivity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.