Agent skill

Airweave

by CraftOS-dev in CraftOS-dev/CraftBot

Context retrieval layer for AI agents across users' applications.

MITAuto-check passedSales & Support

Install Airweave

skills CLI
$ npx skills add CraftOS-dev/CraftBot --skill airweave -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CraftOS-dev/CraftBot airweave --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CraftOS-dev/CraftBot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/airweave .claude/skills/airweave && rm -rf skills-src

Use ~/.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/

Facts

Skill name
airweave
GitHub stars
392
Token cost
~1.1k tokens
SKILL.md length
383 words
Files
5 (incl. scripts, references)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Context retrieval layer for AI agents across users' applications.

  • Works in 4 steps: Lead with the answer — don't start with… → Cite sources — mention where info came… → Synthesize — combine relevant parts into… → …
  • Users ask about their data in connected apps (Slack
  • SKILL.md covers When to Search, Query Formulation, Running a Search and Handling Results, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Airweave is an agent skill from CraftOS-dev/CraftBot. Context retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `_meta.json`, `references/EXAMPLES.md` and `references/PARAMETERS.md`).

It sits in Sales & Support, covering Cloud office suites and CRM management. It works with Jira, Notion, GitHub and Slack. The repository describes itself as: One agent. Every kind of work. The licence is MIT.

When your agent uses it

  • Users ask about their data in connected apps (Slack
  • Need to find documents
  • Information from their workspace
  • Want answers based on their company data

Example prompts

  • “/airweave”

Requirements

  • Python 3
  • A credential in AIRWEAVE_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Lead with the answer — don't start with "I found 5 results"
  2. Cite sources — mention where info came from ("According to your Slack conversation...")
  3. Synthesize — combine relevant parts into a coherent response
  4. Acknowledge gaps — if results don't fully answer, say so

What it can do on your machine

Read from SKILL.md and the folder at commit b50970c. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Airweave loads about 1.1k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 151 tokens; SKILL.md has 383 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~151
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from CraftOS-dev/CraftBot at commit b50970c, republished under its MIT licence (© CraftOS-dev). 383 words, ~1,063 tokens.

Download SKILL.mdSave it as .claude/skills/airweave/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
airweave
description
Context retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their company data, or need you to check app data for context to complete a task.

Search and retrieve context from Airweave collections using the search script at {baseDir}/scripts/search.py.

Search when the user:

  • Asks about data in their connected apps ("What did we discuss in Slack about...")
  • Needs to find documents, messages, issues, or records
  • Asks factual questions about their workspace ("Who is responsible for...", "What's our policy on...")
  • References specific tools by name ("in Notion", "on GitHub", "in Jira")
  • Needs recent information you don't have in your training
  • Needs you to check app data for context ("check our Notion docs", "look at the Jira ticket")

Don't search when:

  • User asks general knowledge questions (use your training)
  • User already provided all needed context in the conversation
  • The question is about Airweave itself, not data within it

Query Formulation

Turn user intent into effective search queries:

User SaysSearch Query
"What did Sarah say about the launch?""Sarah product launch"
"Find the API documentation""API documentation"
"Any bugs reported this week?""bug report issues"
"What's our refund policy?""refund policy customer"

Tips:

  • Use natural language — Airweave uses semantic search
  • Include context — "pricing feedback" beats just "pricing"
  • Be specific but not too narrow
  • Skip filler words like "please find", "can you search for"

Execute the search script:

bash
python3 {baseDir}/scripts/search.py "your search query"

Optional parameters:

  • --limit N — Max results (default: 20)
  • --temporal N — Temporal relevance 0-1 (default: 0, use 0.7+ for "recent", "latest")
  • --strategy TYPE — Retrieval strategy: hybrid, semantic, keyword (default: hybrid)
  • --raw — Return raw results instead of AI-generated answer
  • --expand — Enable query expansion for broader results
  • --rerank / --no-rerank — Toggle LLM reranking (default: on)

Examples:

bash
# Basic search
python3 {baseDir}/scripts/search.py "customer feedback pricing"

# Recent conversations
python3 {baseDir}/scripts/search.py "product launch updates" --temporal 0.8

# Find specific document
python3 {baseDir}/scripts/search.py "API authentication docs" --strategy keyword

# Get raw results for exploration
python3 {baseDir}/scripts/search.py "project status" --limit 30 --raw

# Broad search with query expansion
python3 {baseDir}/scripts/search.py "onboarding" --expand
Show full SKILL.md (124 more words)Show less

Handling Results

Interpreting scores:

  • 0.85+ → Highly relevant, use confidently
  • 0.70-0.85 → Likely relevant, use with context
  • 0.50-0.70 → Possibly relevant, mention uncertainty
  • Below 0.50 → Weak match, consider rephrasing

Presenting to users:

  1. Lead with the answer — don't start with "I found 5 results"
  2. Cite sources — mention where info came from ("According to your Slack conversation...")
  3. Synthesize — combine relevant parts into a coherent response
  4. Acknowledge gaps — if results don't fully answer, say so

Handling No Results

If search returns nothing useful:

  1. Broaden the query — remove specific terms
  2. Try different phrasing — use synonyms
  3. Increase limit — fetch more results
  4. Ask for clarification — user might have more context

Parameter Reference

See PARAMETERS.md for detailed parameter guidance.

Examples

See EXAMPLES.md for complete search scenarios.

© CraftOS-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/airweave of CraftOS-dev/CraftBot.

  • SKILL.md
  • _meta.json
  • references/EXAMPLES.md
  • references/PARAMETERS.md
  • scripts/search.py

Open the folder on GitHubat commit b50970c

Compare with similar skills

Airweave 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.

Airweave compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Airweave this skillCraftOS-dev/CraftBot392—~1.1kAutomated safety check: PassMIT
Colleague DistillationZhixiangLuo/10xProductivity478—~2.1kAutomated safety check: NotesMIT
Enterprise SearchZhixiangLuo/10xProductivity478—~535Automated safety check: PassMIT
Integrationsbutterbase-ai/butterbase-skills534—~832Automated safety check: PassMIT
Discover Brandw95/awesome-claude-corporate-skills235—~1.7kAutomated safety check: PassMIT
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone

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Categories

Questions about Airweave

What does Airweave do?

Context retrieval layer for AI agents across users' applications. Airweave is an agent skill from CraftOS-dev/CraftBot. Context retrieval layer for AI agents across users' applications.

When should I use Airweave?

Airweave fits situations like: users ask about their data in connected apps (Slack; need to find documents; information from their workspace; want answers based on their company data.

How do I install Airweave in Claude Code?

Run `npx skills add CraftOS-dev/CraftBot --skill airweave -a claude-code`. Or copy the skill folder (skills/airweave in CraftOS-dev/CraftBot) into .claude/skills/airweave in your project. Claude Code loads it when a task matches its description.

How do I install Airweave in Codex?

Run `npx skills add CraftOS-dev/CraftBot --skill airweave -a codex`. Or copy the skill folder (skills/airweave in CraftOS-dev/CraftBot) into .agents/skills/airweave in your project. Codex loads it when a task matches its description.

Can I use Airweave 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 CraftOS-dev/CraftBot --skill airweave -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/airweave, .gemini/skills/airweave, .github/skills/airweave and .opencode/skills/airweave in your project.

What does Airweave need to run?

Going by SKILL.md and its folder, Airweave needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; A credential in AIRWEAVE_API_KEY.

Does Airweave access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Airweave safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Airweave use?

Airweave 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 Airweave use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Airweave?

Skills that share tags, products or a category with Airweave: Colleague Distillation (ZhixiangLuo/10xProductivity, 478 stars), Enterprise Search (ZhixiangLuo/10xProductivity, 478 stars), Integrations (butterbase-ai/butterbase-skills, 534 stars) and Discover Brand (w95/awesome-claude-corporate-skills, 235 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Airweave?

CraftOS-dev (a GitHub user) maintains it in CraftOS-dev/CraftBot, which has 392 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 7, 2026.

Source: CraftOS-dev/CraftBot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.