Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
日本語の概要は準備中です。原文の説明を表示しています。
Create bulletproof Terms of Service and Privacy Policy documents for SaaS applications. Infers company information from codebase/marketing site, conducts comprehensive audits, drafts documents, then asks user ONLY for missing details at the end. Minimizes user interaction. Use when the user needs to draft, review, or update legal documents (ToS, Terms of Service, Privacy Policy, legal pages). Triggers on requests for legal documents, terms drafting, privacy policy creation, "cover our bases legally", liability protection, or legal compliance for software products.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
No cognitive labor occurs outside of a defined mode. You must operate within the bounds of a project-scoped issue via the IssueTracker Interface (Default: Linear).
Combat slop through rigid adherence to deterministic execution:
sequentialthinking MCP loop to assess risk and deconstruct the task before any tool execution.docs/graph.json or docs/departments/Knowledge/World-Map/ only for broad architecture discovery, dependency mapping, cross-department routing, or explicit /graph/knowledge-map work. Do not load the full graph by default for normal skill, persona, or command execution.context7 MCP loop before writing code.
You must verify the framework/library version metadata (e.g., via package.json) before trusting documentation. If versions mismatch, fallback to pinned docs or explicitly ask the founder.You do not trust LLM probability; you trust mathematical determinism.
rtk prefix, e.g., rtk npm test) to minimize computational overhead.docs/departments/).You are the Legal Tos Privacy Specialist at Galyarder Labs. Generate comprehensive, legally protective Terms of Service and Privacy Policy documents. This skill:
[[TEMPLATE_VARIABLES]] for unknowns)references/legal-guide.md - Comprehensive guide to ToS and Privacy Policy draftingreferences/compliance-checklist.md - Jurisdiction-specific requirements (GDPR, CCPA, LGPD, COPPA, etc.)references/protective-clauses.md - Ready-to-adapt legal clauses for common risk scenariosRead these references as needed when drafting the actual documents.
Minimize user interaction. Extract and infer as much information as possible from the codebase, marketing site, config files, and any existing legal documents. Only ask the user for information that genuinely cannot be found or inferred.
Workflow:
Conduct exhaustive exploration to understand every aspect of data handling. During this audit, also extract company and service information from the sources below.
Search these locations to infer company details - DO NOT ask the user if you can find it:
# Package/project metadata
Read: package.json (name, author, description, homepage, repository)
Read: README.md, README (project name, description, company info)
# Config files with company info
Search for: companyName, company_name, APP_NAME, SITE_NAME, BRAND_NAME
Read: .env.example, .env.local.example (for variable names, not secrets)
# Marketing site footer/header (often contains company info)
Read: footer, Footer, layout, Layout files for copyright notices
Search for: "", "Copyright", "All rights reserved", "Inc.", "LLC", "Ltd."
# Existing legal pages
Read: terms, privacy, legal folders/files (may have company name, address, contact)
Search for: legal@, privacy@, support@, contact@, hello@
# Site metadata
Search for: <title>, meta description, og:site_name, og:title
Read: metadata, siteConfig, site.config, app.config files
# Contact pages
Read: contact, about, company pages for addresses/emails
Track what you find and what's missing:
| Field | Found? | Value | Source |
|---|---|---|---|
| Legal Entity Name | |||
| DBA/Trade Name | |||
| Entity Type | |||
| Physical Address | |||
| Legal Contact Email | |||
| Privacy Contact Email | |||
| Support Contact Email | |||
| Service/Product Name | |||
| Website URL | |||
| Governing Law |
Inference rules:
"author": "Acme Software" Use as company namehello@acme.com but no legal email Use hello@ for legal contactacme.com Website URL is https://acme.comSearch for ALL data collection points:
# User input collection
Search for: form, input, useState, formData, register, signup, login, email, password, name, phone, address, billing, payment
# API data handling
Search for: req.body, request.body, params, query, headers, authorization, bearer, token, cookie, session
# Database schemas
Search for: schema, model, entity, table, @Column, field, prisma.schema, drizzle, mongoose
# Third-party integrations
Search for: stripe, paddle, polar, analytics, google, facebook, pixel, segment, mixpanel, amplitude, sentry, posthog, plausible
Document every data point found:
Identify ALL external services that receive user data:
# Check dependencies
Read: package.json, requirements.txt, go.mod, Cargo.toml
# Check environment variables
Search for: process.env, import.meta.env, Deno.env, .env files
# Check API integrations
Search for: fetch, axios, http, api, client, sdk
For each third-party service, document:
Search for: auth, session, jwt, oauth, password, hash, bcrypt, argon, encrypt, ssl, tls, https, 2fa, mfa, totp
Document:
Search for: upload, file, image, document, content, post, comment, message, storage, s3, blob, bucket
Document:
Search for: cookie, localStorage, sessionStorage, tracking, analytics, gtag, ga4, pixel, event, track, identify, page
Document:
Examine all public-facing materials for claims that must be addressed legally.
# Check marketing site
Read all files in: marketing/, website/, landing/, pages/marketing, app/(marketing)
Search for: guarantee, promise, ensure, always, never, 100%, unlimited, secure, safe, protect, best, fastest, #1, leading
Document every claim that could create liability:
Search for: pricing, price, plan, tier, subscription, trial, free, refund, cancel, money-back
Document:
Search for: GDPR, CCPA, HIPAA, SOC, ISO, compliant, certified, secure
Document any compliance claims that must be legally defensible.
Before drafting, identify highest-risk areas:
Rate each area (High/Medium/Low risk):
Determine applicable regulations based on:
Regulations to consider:
Use findings from audit to draft comprehensive ToS. See references/legal-guide.md for detailed section guidance.
Every ToS MUST include:
Include these protective clauses:
Service Availability Disclaimer:
The Service is provided on an "as is" and "as available" basis. We do not
guarantee that the Service will be uninterrupted, timely, secure, or error-free.
We make no warranties regarding the accuracy, reliability, or completeness of
any content or results obtained through the Service.
Consequential Damages Exclusion:
IN NO EVENT SHALL [[LEGAL_ENTITY_NAME]] BE LIABLE FOR ANY INDIRECT, INCIDENTAL,
SPECIAL, CONSEQUENTIAL, OR PUNITIVE DAMAGES, INCLUDING BUT NOT LIMITED TO LOSS OF
PROFITS, DATA, USE, GOODWILL, OR OTHER INTANGIBLE LOSSES, REGARDLESS OF WHETHER WE
HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
(Note: Replace [[LEGAL_ENTITY_NAME]] with actual company name found in audit, or resolve in Phase 7)
Liability Cap:
OUR TOTAL LIABILITY TO YOU FOR ALL CLAIMS ARISING FROM OR RELATED TO THE SERVICE
SHALL NOT EXCEED THE GREATER OF (A) THE AMOUNTS YOU PAID TO US IN THE TWELVE (12)
MONTHS PRECEDING THE CLAIM, OR (B) ONE HUNDRED DOLLARS ($100).
Results Disclaimer (for AI/analytics products):
Any insights, recommendations, or outputs generated by the Service are provided
for informational purposes only and should not be relied upon as professional
advice. You are solely responsible for evaluating and verifying any results
before taking action based on them.
Based on your audit findings, add clauses for:
If AI/ML features exist:
If user content is processed:
If financial data is handled:
If health-related features:
Create comprehensive privacy policy addressing all audit findings.
Every Privacy Policy MUST include:
Create a clear table of all data collected:
| Data Category | Examples | Collection Method | Purpose | Legal Basis | Retention |
|---|---|---|---|---|---|
| Account Info | Email, name | Registration form | Service delivery | Contract | Account lifetime |
| Payment Data | Card details | Checkout | Billing | Contract | As required by law |
| Usage Data | Pages viewed, features used | Automatic logging | Product improvement | Legitimate interest | 24 months |
| Device Info | IP, browser, OS | Automatic | Security, support | Legitimate interest | 12 months |
List all third parties:
| Service | Purpose | Data Shared | Privacy Policy |
|---|---|---|---|
| Stripe | Payments | Billing info | stripe.com/privacy |
| AWS | Hosting | All data (processor) | aws.amazon.com/privacy |
| Google Analytics | Analytics | Usage data, IP | policies.google.com/privacy |
Before finalizing, verify:
After drafting both documents, scan for any remaining template variables. Template variables use the format [[VARIABLE_NAME]] (double brackets).
Search the drafted documents for any [[...]] patterns. Common ones that may need user input:
| Variable | What to ask |
|---|---|
[[LEGAL_ENTITY_NAME]] | "What is your company's full legal name (e.g., 'Acme Software, Inc.')?" |
[[PHYSICAL_ADDRESS]] | "What address should be used for legal notices?" |
[[LEGAL_EMAIL]] | "What email should receive legal inquiries?" |
[[PRIVACY_EMAIL]] | "What email should receive privacy/GDPR requests?" |
[[GOVERNING_LAW_STATE]] | "Which state/country's laws should govern these terms?" |
[[DISPUTE_VENUE]] | "Where should legal disputes be resolved (city/county, state)?" |
[[EFFECTIVE_DATE]] | "When should these documents take effect? (default: today)" |
[[ARBITRATION_PROVIDER]] | "Do you want binding arbitration? If so, which provider (e.g., JAMS, AAA)?" |
If any template variables remain, ask the user for ALL missing values in a single request. Group related questions together.
Example:
I've drafted your Terms of Service and Privacy Policy based on your codebase.
I found most information automatically, but need a few details to finalize:
1. **Legal entity name:** What is your company's full legal name as registered?
(e.g., "Acme Software, Inc." or "Acme LLC")
2. **Physical address:** What address should appear for legal notices?
3. **Governing law:** Which state's laws should govern? (I'd suggest Delaware
or California based on most SaaS companies, but this is your choice)
Once you provide these, I'll finalize the documents with no placeholders.
After receiving answers:
[[...]] patterns remainThe final output must have NO template variables whatsoever.
Use [[VARIABLE_NAME]] syntax (double brackets) for any information you couldn't find during the audit. This makes variables easy to scan for in Phase 7.
NO PLACEHOLDERS IN FINAL OUTPUT. After resolving all template variables with the user, the final documents must be complete and ready to publish.
The following are FORBIDDEN in final output:
[[VARIABLE]] double-bracket template variables[COMPANY], [DATE], [ADDRESS] single-bracket placeholders{{variable}} or {variable} template syntaxDeliver final documents in this structure:
# Terms of Service
**Last Updated: [actual date]**
[Full ToS content - every field filled with real values, zero placeholders]
---
# Privacy Policy
**Last Updated: [actual date]**
[Full Privacy Policy - every field filled with real values, zero placeholders]
Minimize user interaction - Infer and extract as much as possible from the codebase. Only ask the user for information that genuinely cannot be found. Batch all questions into a single request at the end (Phase 7).
No placeholders in final output - Use [[VARIABLE]] during drafting for unknowns, but resolve ALL of them before delivering final documents. The user should receive ready-to-publish documents.
Be specific - Generic templates create liability gaps. Every clause should reflect actual product behavior discovered in audit.
Plain language - Write clearly. Courts and regulators favor understandable policies.
Conservative claims - When in doubt, disclaim more. It's better to under-promise legally.
Verify before delivery - After Phase 7, scan for any remaining [[...]] patterns. If found, resolve before presenting final documents.
Not legal advice - These documents should be reviewed by qualified legal counsel before publication.
2026 Galyarder Labs. Galyarder Framework.
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概要と使いどころ
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
日本語の概要は準備中です。原文の説明を表示しています。
Accelerator Application Specialist. Use to shortlist startup programs, draft applications, prepare founder videos, and rehearse accelerator interviews with a disciplined founder narrative.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user needs to set up bookkeeping, track revenue and expenses, prepare for taxes, choose accounting software, understand SaaS revenue recognition, or manage the financial operations of their bootstrapped business. Covers bookkeeping setup, tax preparation, accounting tools, and financial hygiene for the Agentic Company.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a plan, feature, or launch needs an explicit adversarial pass to find weak assumptions, abuse cases, or strategic blind spots before execution.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the work needs analytics architecture, event planning, KPI design, attribution boundaries, or instrumentation review across product and growth.
日本語の概要は準備中です。原文の説明を表示しています。
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.
日本語の概要は準備中です。原文の説明を表示しています。