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Clawbridge Skill

Transforms your goals into nightly searches to find, rank, and summarize top candidate connections with evidence and outreach drafts for review.

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claw-clawbridge

The Intelligent Connection Bridge: A high-signal scouting agent that runs nightly to bridge you with the right people.

Overview

Clawbridge transforms a simple human prompt into a persistent, nightly scouting operation. It doesn't just find leads; it builds a bridge between your goals and the people who can help you achieve them.

  1. Human Intent: You define what you offer and who you're looking for once.
  2. Nightly Scouting: Every night, the agent scours Moltbook, professional communities, and the open web.
  3. Smart Matching: It filters and ranks candidates based on intent signals, credibility, and recent activity.
  4. Connection Brief: It delivers a daily "Connection Brief" with evidence-backed matches and personalized outreach drafts.
  5. Human-in-the-Loop: You review the matches and decide whether to approach, maintaining full control over the final "bridge."

Installation

Via ClawHub (Recommended)

# Install the ClawHub CLI
npm install -g clawhub

# Install this skill
clawhub install claw-clawbridge

Via Legacy clawdbot CLI

# From registry
clawdbot skills install claw-clawbridge

# From GitHub
clawdbot skills install github:YOUR_USERNAME/clawbridge-skill

Manual

Clone and copy to your OpenClaw workspace:

git clone https://github.com/YOUR_USERNAME/clawbridge-skill.git ~/.openclaw/workspace/skills/claw-clawbridge
openclaw gateway restart

Inputs

The skill requires the following inputs:

1. Project Profile (required)

offer: "What your agency/company offers"
ask: "What you want (partners, clients, co-marketing, advisors)"
ideal_persona: "Exact target persona(s)"
verticals:
  - "keyword1"
  - "keyword2"
  - "keyword3"
geo_timezone: "optional - geographic/timezone preferences"
disallowed:
  - "do not contact constraints"
tone: "Short style guidance for draft messages"

2. Constraints (optional)

no_spam_rules:
  - "No cold outreach to competitors"
  - "Respect unsubscribe requests"
regions:
  - "US"
  - "EU"
avoid_list:
  - "competitor@example.com"
  - "@spam_account"

3. Targets (optional)

venues:
  - "moltbook"
  - "web"
  - "communities"
query_templates:
  - "{vertical} + hiring + partner"
  - "{vertical} + looking for + {ask}"

4. Run Budget (optional)

max_searches: 20
max_fetches: 50
max_minutes: 10

Tools Used

This skill uses the following OpenClaw tools:

ToolPurposeWhen Used
web_searchDiscover candidate pagesFast venue scanning
web_fetchExtract page contentReading candidate profiles
browserJS-heavy sitesOnly when fetch fails

Security Requirements

โš ๏ธ MUST follow these security defaults:

  1. Keep secrets out of prompts - Pass via env/config only
  2. Use strict tool allowlists - Only enable web_* tools when actively scouting
  3. Human-in-the-loop - NEVER auto-send outreach in MVP
  4. Rate limiting - Respect run budget constraints
  5. Avoid list enforcement - Never contact entries in avoid_list

Execution Flow

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     DISCOVERY PHASE                             โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                  โ”‚
โ”‚  โ”‚web_searchโ”‚โ”€โ”€โ”€โ–ถโ”‚ Filter   โ”‚โ”€โ”€โ”€โ–ถโ”‚ Dedupe   โ”‚                  โ”‚
โ”‚  โ”‚ (venues) โ”‚    โ”‚ Results  โ”‚    โ”‚ & Queue  โ”‚                  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                           โ”‚
                           โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     ENRICHMENT PHASE                            โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                  โ”‚
โ”‚  โ”‚web_fetch โ”‚โ”€โ”€โ”€โ–ถโ”‚ Extract  โ”‚โ”€โ”€โ”€โ–ถโ”‚ Validate โ”‚                  โ”‚
โ”‚  โ”‚ (pages)  โ”‚    โ”‚ Signals  โ”‚    โ”‚ Evidence โ”‚                  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                           โ”‚
                           โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     RANKING PHASE                               โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                  โ”‚
โ”‚  โ”‚  Score   โ”‚โ”€โ”€โ”€โ–ถโ”‚  Rank    โ”‚โ”€โ”€โ”€โ–ถโ”‚  Top K   โ”‚                  โ”‚
โ”‚  โ”‚ Heuristicโ”‚    โ”‚  Sort    โ”‚    โ”‚ Selectionโ”‚                  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                           โ”‚
                           โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                     DRAFTING PHASE                              โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                  โ”‚
โ”‚  โ”‚  Draft   โ”‚โ”€โ”€โ”€โ–ถโ”‚  Review  โ”‚โ”€โ”€โ”€โ–ถโ”‚  Output  โ”‚                  โ”‚
โ”‚  โ”‚ Messages โ”‚    โ”‚  Tone    โ”‚    โ”‚  Brief   โ”‚                  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Output

The skill outputs a Connection Brief in two formats:

1. Structured JSON (run.json)

See schema/connection_brief.json for the full schema.

2. Human-Readable Markdown (run.md)

See examples/sample_run.md for a sample report.

Candidate Selection Rules

Hard Requirements (discard if missing)

  • โœ… At least 2 evidence URLs per candidate
  • โœ… Clear reason mapping to your ask
  • โœ… Last activity within N days (configurable, default 30)

Risk Flags

Candidates are flagged if they exhibit:

  • ๐ŸŸก low_evidence - Fewer than expected signals
  • ๐ŸŸก spammy_language - Promotional or suspicious content
  • ๐ŸŸก unclear_identity - Cannot verify who they are
  • ๐ŸŸก too_salesy - Overly promotional content
  • ๐ŸŸก irrelevant - Weak connection to your ask

Ranking Heuristic (v1)

Each candidate is scored on:

FactorWeightDescription
Relevance30%Match to keywords + ask
Intent25%Actively building/hiring/seeking
Credibility20%Consistent footprint across sources
Recency15%Recent activity signals
Engagement10%Mutual interests/communities

Output: Top K candidates (default K=3, configurable 5-10)

Examples

See the examples/ directory for:

  • sample_run.json - Full JSON output example
  • sample_run.md - Human-readable report example

Prompts

The skill uses modular prompts located in prompts/:

  • discovery.md - How to search for candidates
  • filtering.md - How to apply hard requirements
  • ranking.md - How to score and rank candidates
  • drafting.md - How to write outreach messages

Venues

Venue-specific search strategies are in venues/:

  • moltbook.md - Moltbook platform scouting
  • web.md - General web search strategies
  • communities.md - Community/forum discovery

Configuration

Environment Variables

# Optional: Override defaults
CLAWBRIDGE_TOP_K=5                    # Number of candidates to return
CLAWBRIDGE_RECENCY_DAYS=30           # Activity recency threshold
CLAWBRIDGE_MAX_SEARCHES=20           # Max search queries per run
CLAWBRIDGE_MAX_FETCHES=50            # Max page fetches per run

Workspace Configuration

The skill reads workspace config from the runner or vault:

workspace_id: "ws_abc123"
workspace_token: "tok_..."  # For vault uploads
delivery_target: "discord"  # or "slack" or "email"

License

MIT License - See LICENSE file for details.

Contributing

Contributions welcome! Please read the prompts carefully and ensure any changes maintain:

  1. Deterministic output schema
  2. No secrets in prompts
  3. Human-in-the-loop requirement
  4. Evidence-based candidate selection

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  2. ็‚นๅ‡ปไธŠๆ–นใ€Œ็ซ‹ๅณไฝฟ็”จใ€ๆŒ‰้’ฎ๏ผŒๆˆ–ๅœจๅฏน่ฏๆก†ไธญ่พ“ๅ…ฅไปปๅŠกๆ่ฟฐ
  3. ๅฐ้พ™่™พAI ไผš่‡ชๅŠจๅŒน้…ๅนถ่ฐƒ็”จใ€ŒClawbridge Skillใ€ๆŠ€่ƒฝๅฎŒๆˆไปปๅŠก
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