Skill by ara.so — Daily 2026 Skills collection.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionantigravity-managerExecute the skills CLI command in your project's root directory to begin installation:
Fetches antigravity-manager from aradotso/trending-skills 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 antigravity-manager. Access via /antigravity-manager 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.
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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
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Skill by ara.so — Daily 2026 Skills collection.
Antigravity Manager is a professional AI account manager and proxy gateway. It takes Google (Gemini) and Anthropic (Claude) web session tokens and exposes them as standard API endpoints (OpenAI-compatible, Anthropic-native, and Gemini-native formats) with intelligent multi-account rotation, quota tracking, and automatic failover.
Key capabilities:
curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash
Install a specific version:
curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --version 4.1.30
Dry run (preview without installing):
curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --dry-run
irm https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/main/install.ps1 | iex
brew tap lbjlaq/antigravity-manager https://github.com/lbjlaq/Antigravity-Manager
brew install --cask antigravity-tools
docker run -d --name antigravity-manager \
-p 8045:8045 \
-e API_KEY=$ANTIGRAVITY_API_KEY \
-e WEB_PASSWORD=$ANTIGRAVITY_WEB_PASSWORD \
-e ABV_MAX_BODY_SIZE=104857600 \
-v ~/.antigravity_tools:/root/.antigravity_tools \
lbjlaq/antigravity-manager:latest
Docker Compose:
# docker-compose.yml
version: "3.8"
services:
antigravity:
image: lbjlaq/antigravity-manager:latest
container_name: antigravity-manager
restart: unless-stopped
ports:
- "8045:8045"
environment:
- API_KEY=${ANTIGRAVITY_API_KEY}
- WEB_PASSWORD=${ANTIGRAVITY_WEB_PASSWORD}
- ABV_MAX_BODY_SIZE=104857600
volumes:
- ~/.antigravity_tools:/root/.antigravity_tools
docker compose up -d
docker logs antigravity-manager # view logs / recover forgotten keys
Download from GitHub Releases:
.dmg (Apple Silicon + Intel).msi or portable .zip.deb, .rpm, or .AppImageAntigravity uses two separate credentials:
| Credential | Env var | Config key | Purpose |
|---|---|---|---|
| API Key | API_KEY |
api_key |
Authenticates AI API calls (Authorization: Bearer ...) |
| Web Password | WEB_PASSWORD |
admin_password |
Logs into the management web UI |
Scenario A — only API_KEY set:
API_KEYAPI_KEYScenario B — both set (recommended):
WEB_PASSWORD only (API Key rejected for login)API_KEY onlyRecover credentials:
docker logs antigravity-manager
# or
grep -E '"api_key"|"admin_password"' ~/.antigravity_tools/gui_config.json
The proxy server runs on port 8045 by default.
POST http://localhost:8045/v1/chat/completions
Authorization: Bearer $ANTIGRAVITY_API_KEY
POST http://localhost:8045/v1/messages
Authorization: Bearer $ANTIGRAVITY_API_KEY
POST http://localhost:8045/v1/models/{model}:generateContent
Authorization: Bearer $ANTIGRAVITY_API_KEY
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["ANTIGRAVITY_API_KEY"],
base_url="http://localhost:8045/v1",
)
response = client.chat.completions.create(
model="gemini-2.5-pro",
messages=[
{"role": "user", "content": "Explain quantum entanglement in simple terms."}
],
stream=True,
)
for chunk in response:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
import os
import anthropic
client = anthropic.Anthropic(
api_key=os.environ["ANTIGRAVITY_API_KEY"],
base_url="http://localhost:8045",
)
message = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=1024,
messages=[
{"role": "user", "content": "Write a haiku about distributed systems."}
],
)
print(message.content[0].text)
import os
import anthropic
client = anthropic.Anthropic(
api_key=os.environ["ANTIGRAVITY_API_KEY"],
base_url="http://localhost:8045",
)
with client.messages.stream(
model="claude-opus-4-5",
max_tokens=2048,
system="You are a helpful coding assistant.",
messages=[{"role": "user", "content": "Implement a binary search in Rust."}],
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.ANTIGRAVITY_API_KEY!,
baseURL: "http://localhost:8045/v1",
});
async function chat(prompt: string): Promise<string> {
const response = await client.chat.completions.create({
model: "gemini-2.5-flash",
messages: [{ role: "user", content: prompt }],
});
return response.choices[0].message.content ?? "";
}
// Image generation via Imagen 3
async function generateImage(prompt✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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4.8★★★★★25 reviews- PPratham Ware★★★★★Dec 28, 2024
Solid pick for teams standardizing on skills: antigravity-manager is focused, and the summary matches what you get after install.
- HHarper Lopez★★★★★Dec 12, 2024
antigravity-manager has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AArjun Harris★★★★★Dec 12, 2024
Useful defaults in antigravity-manager — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- YYash Thakker★★★★★Sep 25, 2024
We added antigravity-manager from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAmelia Wang★★★★★Sep 9, 2024
antigravity-manager fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- LLiam Reddy★★★★★Aug 28, 2024
We added antigravity-manager from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDhruvi Jain★★★★★Aug 16, 2024
antigravity-manager fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- OOlivia Ghosh★★★★★Jul 19, 2024
antigravity-manager reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOshnikdeep★★★★★Jul 7, 2024
Registry listing for antigravity-manager matched our evaluation — installs cleanly and behaves as described in the markdown.
- GGanesh Mohane★★★★★Jun 26, 2024
antigravity-manager reduced setup friction for our internal harness; good balance of opinion and flexibility.
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