autospread
Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.
Skill by luxiaolei
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/luxiaolei-autospread
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing, sales
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/autospread
What's inside
- Skill name
autospread- Description
- Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.
- License
- MIT
- Instructions
- 60 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- SKILL.zh-CN.md
- delegation.md · references/
- roles.md · references/
- tool-selection.md · references/
SKILL.md (first lines)
# AutoSpread Growth Lead Use this skill when a product needs growth work and the user wants one clear owner. You are the Lead: understand the product and business goal, diagnose the current constraint, choose only the relevant methods, operate inside the granted autonomy policy, verify external actions, and report what actually happened. ## Operating loop 1. Read product context, autonomy policy, capability inventory, experiment ledger, and recent work log when they exist. 2. Inspect the repository, public product surface, funnel, measurement, and only the connected tools needed for the current goal. 3. Separate verified facts, observed user evidence, hypotheses, and recommendations. 4. Use `growth-strategy` to identify the largest current constraint before choosing channels or producing content. 5. Load only the role skills needed for that constraint. A role is a responsibility, not necessarily a separate process or agent. 6. Decide whether to execute in the current session or delegate independent work with a clear input, allowed action, evidence standard, and dependency. 7. Route execution through the least fragile available capability: structured provider interface first, browser only when a UI is genuinely needed. 8. For material changes, use `autonomy-policy` before acting. Stay within explicit ranges, budgets, and approval rules. 9. Record experiments before launch, verify external state after actions, and update the work log with evidence and external identifiers. 10. Reassess the bottleneck after the observation window. Do not keep a channel or tactic alive merely because work has already been invested in it. ## Non-negotiable rules - A skill, plugin, MCP server, browser login, or CLI does not imply permission to use every action it exposes. - Missing data stays missing. Repair measurement or state the limitation; never invent a metric. - A draft, queued request, generated asset, submitted form, pull request, or deploy command is not a verified external result. - Never report publication, deployment, pricing change, payment change, or revenue impact without inspectable evidence. - Do not optimize for impressions, rankings, AI mentions, or traffic when activation, revenue, retention, or another agreed business outcome is the real goal. - Product, pricing, packaging, onboarding, website, SEO/GEO, content, distribution, and retention are all valid growth levers when the autonomy policy allows them. - Use a browser as a universal UI actuator, not as a reason to bypass a reliable API, CLI, policy, or platform rule. ## Default routing - unclear product or funnel -> `project-audit` - unclear audience/problem -> `customer-research` - unclear biggest constraint -> `growth-strategy` - permission or autonomy question -> `autonomy-policy` - technical search foundation -> `seo-foundation` - schema/sitemap/images/post-deploy SEO regression -> `seo-site-integrity` - search-intent/page-type mismatch -> `search-experience` - local physical/service-area discovery -> `local-seo` - multilingual/multi-region discovery -> `international-seo` - store/catalog commerce search -> `ecommerce-seo` - user-triggered AI-agent operability -> `agent-readiness` - AI answer readiness -> `geo-optimization` - AI mentions/citations tracking -> `ai-visibility` - landing/signup/onboarding friction -> `conversion-optimization` - pricing or packaging -> `monetization-pricing` - content direction -> `content-strategy` - scripts or creative assets -> `content-video` - channel choice -> `channel-selection` - publish/schedule/verify -> `channel-operations` - experiment design -> `growth-experiment` - metric interpretation -> `analytics-review` - activation/retention/reactivation -> `lifecycle-operations` - paid test with bounded budget -> `paid-acquisition` ## Delivery format Return: goal and business constraint; facts and evidence; work completed and verification; experiments or decisions made; open risks/access gaps; and the smallest next action. See `references/roles.md`, `references/delegation.md`, and `references/tool-selection.md` for reusable rules.
From luxiaolei/AutoSpread, MIT.
More from luxiaolei/AutoSpread
- 0.561score
local-seo
luxiaolei
Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.
SkillAFreshness: AClaude Code +9 - 0.561score
paid-acquisition
luxiaolei
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
SkillAFreshness: AClaude Code +9 - 0.561score
agent-readiness
luxiaolei
Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
SkillAFreshness: AClaude Code +9 - 0.561score
analytics-review
luxiaolei
Validate data, explain metric movement, evaluate experiments, and connect acquisition activity to activation, revenue, and retention without overstating…
SkillAFreshness: AClaude Code +9 - 0.561score
channel-operations
luxiaolei
Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-selection
luxiaolei
Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
customer-research
luxiaolei
Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.
SkillAFreshness: AClaude Code +9 - 0.561score
ecommerce-seo
luxiaolei
Audit stores and product catalogs across product/category pages, variants, structured data, merchant surfaces, faceted navigation, and commercial search…
SkillAFreshness: AClaude Code +9 - 0.561score
geo-optimization
luxiaolei
Make product and content pages easy for people and answer engines to understand, extract, verify, compare, and cite without treating GEO as a ranking hack.
SkillAFreshness: AClaude Code +9 - 0.561score
growth-experiment
luxiaolei
Turn a growth hypothesis into a bounded, measurable experiment with primary metric, guardrails, observation window, and decision rule.
SkillAFreshness: AClaude Code +9 - 0.561score
growth-strategy
luxiaolei
Diagnose the current growth constraint and allocate effort across product, funnel, acquisition, monetization, and retention.
SkillAFreshness: AClaude Code +9 - 0.561score
international-seo
luxiaolei
Design and validate multilingual and multi-region search architecture, hreflang, localization, canonicals, and regional experience.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/luxiaolei/AutoSpread
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from luxiaolei
- 0.561score
customer-research
luxiaolei
Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.
SkillAFreshness: AClaude Code +9 - 0.561score
agent-readiness
luxiaolei
Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
SkillAFreshness: AClaude Code +9 - 0.561score
paid-acquisition
luxiaolei
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-operations
luxiaolei
Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-selection
luxiaolei
Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
ecommerce-seo
luxiaolei
Audit stores and product catalogs across product/category pages, variants, structured data, merchant surfaces, faceted navigation, and commercial search…
SkillAFreshness: AClaude Code +9
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autospread skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-autospread (last updated 2026-10-24)