clawbridge-skill

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:

Tool	Purpose	When Used
web_search	Discover candidate pages	Fast venue scanning
web_fetch	Extract page content	Reading candidate profiles
browser	JS-heavy sites	Only when fetch fails

Security Requirements

⚠️ 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

┌─────────────────────────────────────────────────────────────────┐
│                     DISCOVERY PHASE                             │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │web_search│───▶│ Filter   │───▶│ Dedupe   │                  │
│  │ (venues) │    │ Results  │    │ & Queue  │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     ENRICHMENT PHASE                            │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │web_fetch │───▶│ Extract  │───▶│ Validate │                  │
│  │ (pages)  │    │ Signals  │    │ Evidence │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     RANKING PHASE                               │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │  Score   │───▶│  Rank    │───▶│  Top K   │                  │
│  │ Heuristic│    │  Sort    │    │ Selection│                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                     DRAFTING PHASE                              │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐                  │
│  │  Draft   │───▶│  Review  │───▶│  Output  │                  │
│  │ Messages │    │  Tone    │    │  Brief   │                  │
│  └──────────┘    └──────────┘    └──────────┘                  │
└─────────────────────────────────────────────────────────────────┘

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)

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

Risk Flags

Candidates are flagged if they exhibit:

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

Ranking Heuristic (v1)

Each candidate is scored on:

Factor	Weight	Description
Relevance	30%	Match to keywords + ask
Intent	25%	Actively building/hiring/seeking
Credibility	20%	Consistent footprint across sources
Recency	15%	Recent activity signals
Engagement	10%	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