OpenWork communicates with OpenCode via three mechanisms:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopencode-bridgeExecute the skills CLI command in your project's root directory to begin installation:
Fetches opencode-bridge from different-ai/openwork and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate opencode-bridge. Access via /opencode-bridge in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
1
total installs
1
this week
13.3K
GitHub stars
0
upvotes
Run in your terminal
1
installs
1
this week
13.3K
stars
OpenWork communicates with OpenCode via three mechanisms:
opencode with prompts and get JSON responses.opencode -p "your prompt" -f json -q
Returns JSON with the response content.
| Flag | Description |
|---|---|
-p |
Prompt to execute |
-f |
Output format (text, json) |
-q |
Quiet mode (no spinner) |
-c |
Working directory |
-d |
Debug mode |
{
"content": "Here is the result...",
"session_id": "abc123"
}
~/.opencode/opencode.db
Or project-local:
.opencode/opencode.db
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
);
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
);
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)
}
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"
);
OpenWork can register as an MCP server that OpenCode connects to.
{
"mcpServers": {
"openwork": {
"type": "stdio",
"command": "openwork-mcp-bridge"
}
}
}
Messages contain a parts JSON array with different content types:
{ "type": "text", "text": "Hello world" }
{
"type": "tool_call",
"id": "call_123",
"name": "bash",
"input": "{\"command\": \"ls\"}"
}
{
"type": "tool_result",
"tool_call_id": "call_123",
"content": "file1.txt\nfile2.txt",
"is_error": false
}
{
"type": "finish",
"reason": "end_turn",
"time": 1704067200
}
which opencode
opencode --version
ls ~/.opencode/opencode.db
opencode -p "Hello" -f json -q
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added opencode-bridge from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: opencode-bridge is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in opencode-bridge — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for opencode-bridge matched our evaluation — installs cleanly and behaves as described in the markdown.
opencode-bridge is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend opencode-bridge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
opencode-bridge fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: opencode-bridge is focused, and the summary matches what you get after install.
I recommend opencode-bridge for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
opencode-bridge reduced setup friction for our internal harness; good balance of opinion and flexibility.
showing 1-10 of 62