opencode-bridge▌
different-ai/openwork · updated Apr 16, 2026
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OpenWork communicates with OpenCode via three mechanisms:
Overview
OpenWork communicates with OpenCode via three mechanisms:
- CLI invocation: Spawn
opencodewith prompts and get JSON responses. - Database access: Read OpenCode's SQLite database for sessions and messages.
- MCP bridge: Real-time bidirectional communication for streaming and permissions.
CLI Invocation
Non-interactive mode
opencode -p "your prompt" -f json -q
Returns JSON with the response content.
Flags
| Flag | Description |
|---|---|
-p |
Prompt to execute |
-f |
Output format (text, json) |
-q |
Quiet mode (no spinner) |
-c |
Working directory |
-d |
Debug mode |
Example response
{
"content": "Here is the result...",
"session_id": "abc123"
}
Database Access
Location
~/.opencode/opencode.db
Or project-local:
.opencode/opencode.db
Schema (key tables)
sessions
CREATE TABLE sessions (
id TEXT PRIMARY KEY,
parent_session_id TEXT,
title TEXT,
message_count INTEGER,
prompt_tokens INTEGER,
completion_tokens INTEGER,
summary_message_id TEXT,
cost REAL,
created_at INTEGER,
updated_at INTEGER
);
messages
CREATE TABLE messages (
id TEXT PRIMARY KEY,
session_id TEXT,
role TEXT, -- 'user', 'assistant', 'tool'
parts TEXT, -- JSON array of content parts
model TEXT,
created_at INTEGER,
updated_at INTEGER
);
Querying from Rust (Tauri)
use tauri_plugin_sql::{Migration, MigrationKind};
#[tauri::command]
async fn list_sessions(db: tauri::State<'_, Database>) -> Result<Vec<Session>, String> {
let sessions = sqlx::query_as::<_, Session>(
"SELECT * FROM sessions ORDER BY updated_at DESC"
)
.fetch_all(&db.pool)
.await
.map_err(|e| e.to_string())?;
Ok(sessions)
}
Querying from SolidJS
import Database from "@tauri-apps/plugin-sql";
const db = await Database.load("sqlite:~/.opencode/opencode.db");
const sessions = await db.select<Session[]>(
"SELECT * FROM sessions ORDER BY updated_at DESC"
);
MCP Bridge (Advanced)
OpenWork can register as an MCP server that OpenCode connects to.
Configuration (opencode.json)
{
"mcpServers": {
"openwork": {
"type": "stdio",
"command": "openwork-mcp-bridge"
}
}
}
Use cases
- Real-time permission prompts surfaced in OpenWork UI.
- Streaming progress updates.
- Custom tools exposed from OpenWork (e.g., native file picker).
Message Content Parts
Messages contain a parts JSON array with different content types:
TextContent
{ "type": "text", "text": "Hello world" }
ToolCall
{
"type": "tool_call",
"id": "call_123",
"name": "bash",
"input": "{\"command\": \"ls\"}"
}
ToolResult
{
"type": "tool_result",
"tool_call_id": "call_123",
"content": "file1.txt\nfile2.txt",
"is_error": false
}
Finish
{
"type": "finish",
"reason": "end_turn",
"time": 1704067200
}
Common Gotchas
- Database is SQLite; use read-only access to avoid conflicts with running OpenCode.
- Message parts are JSON-encoded strings; parse them in the UI.
- Session IDs are UUIDs; tool call IDs are also UUIDs.
- Cost is in USD; tokens are raw counts.
First-Time Setup
Verify OpenCode is installed
which opencode
opencode --version
Verify database exists
ls ~/.opencode/opencode.db
Test CLI invocation
opencode -p "Hello" -f json -q
How to use opencode-bridge on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add opencode-bridge
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches opencode-bridge from GitHub repository different-ai/openwork and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate opencode-bridge. Access the skill through slash commands (e.g., /opencode-bridge) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★62 reviews- ★★★★★Diego Iyer· Dec 28, 2024
We added opencode-bridge from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Diallo· Dec 28, 2024
Keeps context tight: opencode-bridge is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Liam Harris· Dec 20, 2024
Useful defaults in opencode-bridge — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diego Huang· Dec 8, 2024
Registry listing for opencode-bridge matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aarav Agarwal· Dec 8, 2024
opencode-bridge is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Rao· Nov 27, 2024
I recommend opencode-bridge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diego Mehta· Nov 27, 2024
opencode-bridge fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Advait Kim· Nov 27, 2024
Solid pick for teams standardizing on skills: opencode-bridge is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 23, 2024
I recommend opencode-bridge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Camila Kapoor· Nov 19, 2024
opencode-bridge reduced setup friction for our internal harness; good balance of opinion and flexibility.
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