Ak Dev New Messaging Integration
yaalalabs/agent-kernel
Step-by-step guide for adding a new messaging platform integration to Agent Kernel.
Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies.
Install Ecom Conversational
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills ecom-conversational --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ecom-conversational .claude/skills/ecom-conversational && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .claude/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversationalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills ecom-conversational --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ecom-conversational .agents/skills/ecom-conversational && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .agents/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills ecom-conversational --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ecom-conversational .cursor/skills/ecom-conversational && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .cursor/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgard-ai-platform/skills.git --path ecom-conversational--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills ecom-conversational --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ecom-conversational .gemini/skills/ecom-conversational && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .gemini/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgard-ai-platform/skills ecom-conversationalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ecom-conversational .github/skills/ecom-conversational && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .github/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill ecom-conversational -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills ecom-conversational --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ecom-conversational .opencode/skills/ecom-conversational && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ecom-conversational" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/ecom-conversational into .opencode/skills/ecom-conversational/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecom-conversational", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ecom-conversational- GitHub stars
- 242
- Token cost
- ~1.2k tokens
- SKILL.md length
- 396 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies.
- The user needs to sell through LINE
- SKILL.md covers Framework, Output Format, Gotchas and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Other messaging channels
What it does
Ecom Conversational is an agent skill from asgard-ai-platform/skills. Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/chatbot-design.md` and `references/line-oa-setup.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Instagram and WhatsApp. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to sell through LINE
- Other messaging channels
- Design chatbot purchasing flows
- Integrate messaging into their sales funnel — even if they say sell through LINE
Example prompts
- “sell through LINE”
- “build a shopping chatbot”
- “customers ask to buy in our DMs”
- “/ecom-conversational”
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ecom Conversational loads about 1.2k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 396 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 396 words, ~1,248 tokens.
Download SKILL.mdSave it as
.claude/skills/ecom-conversational/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- ecom-conversational
- description
- Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.
- metadata.category
- WP-01 電商
- metadata.tags
- e-commerce, conversational-commerce, chatbot, messaging
Conversational Commerce
Framework
IRON LAW: Conversation First, Commerce Second
Conversational commerce works because it meets customers WHERE THEY
ALREADY ARE (messaging apps). Forcing a sales pitch into a chat channel
kills trust. The conversation must provide genuine value (answering questions,
solving problems) BEFORE introducing products or purchases.
The sequence: Help → Trust → Recommend → ConvertPlatform Comparison (Asia-Pacific Focus)
| Platform | Users (Taiwan) | Commerce Features | Best For |
|---|---|---|---|
| LINE | 21M+ (95% penetration) | LINE Shopping, Rich Menu, LIFF, payment | Taiwan, Japan, Thailand primary channel |
| Instagram DM | ~10M | Shop tags, quick replies, product stickers | Visual products, younger demographic |
| Facebook Messenger | ~18M | Shops integration, automated responses | Broad reach, older demographic |
| Limited in Taiwan | Catalog, cart, payment (select markets) | SEA, India, Brazil | |
| ~1M (Taiwan) | Mini Programs, WeChat Pay | China-connected businesses |
Conversation Flow Design
1. Entry Points — How customers start the conversation
- QR code in store, ad click-to-message, website chat widget, social media link
2. Welcome Flow — First 3 messages
- Greet warmly, set expectations, offer navigation options
- Rich menu (LINE) or quick reply buttons — don't ask open-ended questions early
3. Product Discovery — Help them find what they need
- Guided questions: "What are you looking for?" → category → product
- Product cards with image, price, and "Buy" button
- AI-powered recommendations based on conversation context
4. Purchase Flow — Minimize friction
- In-chat checkout where possible (LINE Pay, in-app payment)
- If redirecting to website, deep-link to the specific product (not homepage)
- Order confirmation message with tracking
5. Post-Purchase — Retain and upsell
- Shipping updates via message
- Follow-up: "How's the product?" (7 days after delivery)
- Personalized recommendations based on purchase history
Chatbot vs Human Handoff
| Scenario | Handle with Bot | Hand off to Human |
|---|---|---|
| FAQ (hours, shipping, returns) | ✓ | — |
| Product recommendations (simple) | ✓ | — |
| Complex product questions | — | ✓ |
| Complaints / issues | — | ✓ (immediately) |
| High-value purchases | Bot assists → human closes | ✓ |
Key metric: Bot containment rate (% resolved without human) — target 60-70% for mature bots.
Show full SKILL.md (146 more words)Show less
Output Format
# Conversational Commerce Plan: {Business}
## Channel Selection
- Primary: {platform} — rationale: {why}
- Entry points: {QR / ad / social / website}
## Conversation Flow
1. Welcome: {message template}
2. Discovery: {question flow}
3. Product Card: {template}
4. Checkout: {in-chat / redirect}
5. Post-purchase: {follow-up sequence}
## Bot vs Human Split
| Scenario | Handler | SLA |
|----------|---------|-----|
| {scenario} | Bot/Human | {response time} |
## KPIs
| Metric | Target |
|--------|--------|
| Response time | < {X} seconds (bot) / < {X} minutes (human) |
| Containment rate | > 60% |
| Conversation-to-purchase rate | > {X%} |
| Customer satisfaction (CSAT) | > 4.0/5 |Gotchas
- LINE Official Account tiers matter: Free tier limits monthly messages. If you exceed, messages are throttled. Budget for premium tier if customer base > 500.
- Don't over-automate: A bot that can't understand the question and loops "I didn't understand, please choose from the menu" destroys trust faster than no bot at all. Always offer a human escalation path.
- Messaging is asynchronous: Unlike phone calls, customers expect to message and come back later. Design flows that work with interruptions — save cart state, remember context.
- Privacy in messaging: Chat history is personal. Don't share conversations internally without consent, and be transparent about data usage.
- Social commerce is exploding in SEA/Taiwan: LINE Shopping, Instagram Shopping, TikTok Shop — these blur the line between social and commerce. Treat them as primary channels, not add-ons.
References
- For LINE Official Account setup, see
references/line-oa-setup.md - For chatbot NLU design patterns, see
references/chatbot-design.md
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in ecom-conversational of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/chatbot-design.md
- references/line-oa-setup.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Ecom Conversational next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ecom Conversational this skillasgard-ai-platform/skills | 242 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Ak Dev New Messaging Integrationyaalalabs/agent-kernel | 192 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Ak Add Integrationyaalalabs/agent-kernel | 192 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Ig DmJakeschincariol/instagram-agent-skill | 760 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Whatsapp Automationdavepoon/buildwithclaude | 3.6k | 7 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Beepersteipete/agent-scripts | 7.3k | — | ~250 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Ecom Conversational
What does Ecom Conversational do?
Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Ecom Conversational is an agent skill from asgard-ai-platform/skills. Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies.
When should I use Ecom Conversational?
Ecom Conversational fits situations like: the user needs to sell through LINE; other messaging channels; design chatbot purchasing flows; integrate messaging into their sales funnel — even if they say sell through LINE.
How do I install Ecom Conversational in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill ecom-conversational -a claude-code`. Or copy the skill folder (ecom-conversational in asgard-ai-platform/skills) into .claude/skills/ecom-conversational in your project. Claude Code loads it when a task matches its description.
How do I install Ecom Conversational in Codex?
Run `npx skills add asgard-ai-platform/skills --skill ecom-conversational -a codex`. Or copy the skill folder (ecom-conversational in asgard-ai-platform/skills) into .agents/skills/ecom-conversational in your project. Codex loads it when a task matches its description.
Can I use Ecom Conversational in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill ecom-conversational -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecom-conversational, .gemini/skills/ecom-conversational, .github/skills/ecom-conversational and .opencode/skills/ecom-conversational in your project.
What does Ecom Conversational need to run?
SKILL.md names no scripts, command-line tools or credentials: Ecom Conversational is instructions for the agent only.
Does Ecom Conversational access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ecom Conversational safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ecom Conversational use?
Ecom Conversational is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ecom Conversational use?
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.
What are the alternatives to Ecom Conversational?
Skills that share tags, products or a category with Ecom Conversational: Ak Dev New Messaging Integration (yaalalabs/agent-kernel, 192 stars), Ak Add Integration (yaalalabs/agent-kernel, 192 stars), Ig Dm (Jakeschincariol/instagram-agent-skill, 760 stars) and Whatsapp Automation (davepoon/buildwithclaude, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ecom Conversational?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.