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shopify-admin-agentic-llms-txt

Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store.

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Prix non confirmé★ 182 Stars GitHubRegistre mis à jour · 4 sept. 2026agent-skill

Vue d’ensemble

Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store.

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Purpose

llms.txt is the emerging convention for telling AI assistants, in plain text, what a site is and where the important pages live — a curated front door for models. This skill assembles an llms.txt from the store's own data (brand one-liner, top collections, flagship products with URLs, shipping/returns policy links, contact) and publishes it through a theme template so it's served at a stable path. Fixes llms-txt / well-known-llms-txt and the related agents-md discovery signals.

Prerequisites

Authenticated Shopify CLI session (shopify auth login --store <domain>)
Required API scopes: read_products, read_themes, write_themes

Parameters

All skills accept these universal parameters:

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain (e.g., mystore.myshopify.com)
format	string	no	human	Output format: `human` (default) or `json`
dry_run	bool	no	true	Preview the generated llms.txt without writing (defaults ON — edits the live theme)

Skill-specific parameters:

Parameter	Type	Required	Default	Description
theme_id	string	no	—	Theme GID (defaults to published MAIN theme)
flagship_count	int	no	12	How many top products to list
flagship_collection_id	string	no	—	Collection to draw the flagship list from (else best-sellers/recent)
brand_summary	string	no	—	Override the brand one-liner (else inferred from shop + homepage)

Safety

⚠️ Step 4 (themeFilesUpsert) writes a new template to the LIVE theme. The content is additive (a new file/route) and low-risk, but it is published immediately. Defaults dry_run: true so you review the generated llms.txt first. Duplicating the theme before writing is recommended.

Workflow Steps

OPERATION: shop — query Inputs: none Expected output: Shop name, domain, contact email, policy URLs — the header + contact + policy section of llms.txt.
OPERATION: products — query Inputs: first: flagship_count, optional query: "collection_id:'<id>'" (when flagship_collection_id is set — the curated set is your flagship list), sortKey: UPDATED_AT, reverse: true otherwise; fields title, onlineStoreUrl, description. Expected output: Flagship product list with URLs for the "Key products" section. (Top-level products has no best-selling sort — use the curated collection for true bestsellers, else most-recently-updated as the proxy.)
COMPUTE (no API): render the llms.txt markdown: # <Brand> + one-liner, ## Key products (title — URL — one line), ## Policies (shipping/returns/privacy URLs), ## Contact. Emit the full text.
OPERATION: themeFilesUpsert — mutation Inputs: themeId, write templates/page.llms.liquid (a page template that outputs the text as text/plain) plus, if used, an assets/llms.txt copy; skipped when dry_run. Expected output: Upserted theme file(s); collect userErrors. (Note: surface a one-line instruction to create a Page using the llms template, or to add a redirect from /llms.txt.)

GraphQL Operations

# shop:query — validated against api_version 2025-01
query LlmsTxtShop {
  shop {
    name
    primaryDomain { url }
    contactEmail
    shopPolicies { type url }
  }
}

# products:query — validated against api_version 2025-01
# Top-level `products` has no BEST_SELLING sort key. Pass a `collection_id:'…'`
# query filter to use a curated flagship set, otherwise fall back to the most
# recently updated products.
query LlmsTxtFlagship($first: Int!, $query: String) {
  products(first: $first, query: $query, sortKey: UPDATED_AT, reverse: true) {
    edges {
      node { id title onlineStoreUrl description }
    }
  }
}

# themeFilesUpsert:mutation — validated against api_version 2025-01
mutation LlmsTxtUpsert($themeId: ID!, $files: [OnlineStoreThemeFilesUpsertFileInput!]!) {
  themeFilesUpsert(themeId: $themeId, files: $files) {
    upsertedThemeFiles { filename }
    userErrors { filename code message }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: <skill name>                         ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>

If dry_run: true, prefix every mutation step with [DRY RUN] and do not execute it.

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
OUTCOME SUMMARY
  <Metric label>:   <value>
  Errors:           0
  Output:           <filename or "none">
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "<skill-slug>",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    {
      "step": 1,
      "operation": "<OperationName>",
      "type": "query",
      "params_summary": "<string>",
      "result_summary": "<string>",
      "skipped": false
    }
  ],
  "outcome": {
    "metric_key": 0,
    "errors": 0,
    "output_file": null
  }
}

Output Format

human: the full generated llms.txt + the post-publish step (create a Page on the llms template, or add a /llms.txt → page redirect). json: { theme_id, llms_txt, wrote: true|false, follow_up, errors }.

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit	Wait 2s, retry up to 3 times
`ACCESS_DENIED`	Missing `write_themes`	Abort; output the generated llms.txt so it can be added manually
No flagship products	Empty/new catalog	Publish header + policies + contact only

Best Practices

Keep it short and high-signal — llms.txt is a map, not a dump; link to canonical pages rather than pasting content.
Regenerate when the flagship lineup or policies change (the agentic-readiness-monitor routine can schedule this).
Pair with shopify-admin-agentic-crawler-access — an llms.txt only helps if crawlers are allowed in.
After publishing, add a storefront redirect /llms.txt → the page so it sits at the conventional path.

Voir la source ↗

Métadonnées du fichier

name: shopify-admin-agentic-llms-txt
role: agentic
description: "Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
  - shop:query
  - products:query
  - themeFilesUpsert:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
audit_signals:
  - llms-txt
  - well-known-llms-txt
  - agents-md

Voir le texte original

---
name: shopify-admin-agentic-llms-txt
role: agentic
description: "Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
  - shop:query
  - products:query
  - themeFilesUpsert:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
audit_signals:
  - llms-txt
  - well-known-llms-txt
  - agents-md
---

## Purpose
`llms.txt` is the emerging convention for telling AI assistants, in plain text, what a site is and where the important pages live — a curated front door for models. This skill assembles an `llms.txt` from the store's own data (brand one-liner, top collections, flagship products with URLs, shipping/returns policy links, contact) and publishes it through a theme template so it's served at a stable path. Fixes `llms-txt` / `well-known-llms-txt` and the related `agents-md` discovery signals.

## Prerequisites
- Authenticated Shopify CLI session (`shopify auth login --store <domain>`)
- Required API scopes: `read_products`, `read_themes`, `write_themes`

## Parameters
All skills accept these universal parameters:

| Parameter | Type   | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| store     | string | yes      | —       | Store domain (e.g., mystore.myshopify.com) |
| format    | string | no       | human   | Output format: `human` (default) or `json` |
| dry_run   | bool   | no       | true    | Preview the generated llms.txt without writing (defaults ON — edits the live theme) |

Skill-specific parameters:

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| theme_id | string | no | — | Theme GID (defaults to published MAIN theme) |
| flagship_count | int | no | 12 | How many top products to list |
| flagship_collection_id | string | no | — | Collection to draw the flagship list from (else best-sellers/recent) |
| brand_summary | string | no | — | Override the brand one-liner (else inferred from shop + homepage) |

## Safety

> ⚠️ Step 4 (`themeFilesUpsert`) writes a new template to the LIVE theme. The content is additive (a new file/route) and low-risk, but it is published immediately. Defaults `dry_run: true` so you review the generated `llms.txt` first. Duplicating the theme before writing is recommended.

## Workflow Steps

1. **OPERATION:** `shop` — query
   **Inputs:** none
   **Expected output:** Shop name, domain, contact email, policy URLs — the header + contact + policy section of llms.txt.

2. **OPERATION:** `products` — query
   **Inputs:** `first: flagship_count`, optional `query: "collection_id:'<id>'"` (when `flagship_collection_id` is set — the curated set is your flagship list), `sortKey: UPDATED_AT, reverse: true` otherwise; fields `title`, `onlineStoreUrl`, `description`.
   **Expected output:** Flagship product list with URLs for the "Key products" section. (Top-level `products` has no best-selling sort — use the curated collection for true bestsellers, else most-recently-updated as the proxy.)

3. **COMPUTE (no API):** render the `llms.txt` markdown: `# <Brand>` + one-liner, `## Key products` (title — URL — one line), `## Policies` (shipping/returns/privacy URLs), `## Contact`. Emit the full text.

4. **OPERATION:** `themeFilesUpsert` — mutation
   **Inputs:** `themeId`, write `templates/page.llms.liquid` (a page template that outputs the text as `text/plain`) plus, if used, an `assets/llms.txt` copy; skipped when `dry_run`.
   **Expected output:** Upserted theme file(s); collect `userErrors`. (Note: surface a one-line instruction to create a Page using the `llms` template, or to add a redirect from `/llms.txt`.)

## GraphQL Operations

```graphql
# shop:query — validated against api_version 2025-01
query LlmsTxtShop {
  shop {
    name
    primaryDomain { url }
    contactEmail
    shopPolicies { type url }
  }
}
```

```graphql
# products:query — validated against api_version 2025-01
# Top-level `products` has no BEST_SELLING sort key. Pass a `collection_id:'…'`
# query filter to use a curated flagship set, otherwise fall back to the most
# recently updated products.
query LlmsTxtFlagship($first: Int!, $query: String) {
  products(first: $first, query: $query, sortKey: UPDATED_AT, reverse: true) {
    edges {
      node { id title onlineStoreUrl description }
    }
  }
}
```

```graphql
# themeFilesUpsert:mutation — validated against api_version 2025-01
mutation LlmsTxtUpsert($themeId: ID!, $files: [OnlineStoreThemeFilesUpsertFileInput!]!) {
  themeFilesUpsert(themeId: $themeId, files: $files) {
    upsertedThemeFiles { filename }
    userErrors { filename code message }
  }
}
```

## Session Tracking

**Claude MUST emit the following output at each stage. This is mandatory.**

**On start**, emit:
```
╔══════════════════════════════════════════════╗
║  SKILL: <skill name>                         ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝
```

**After each step**, emit:
```
[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>
```

If `dry_run: true`, prefix every mutation step with `[DRY RUN]` and do not execute it.

**On completion**, emit:

For `format: human` (default):
```
══════════════════════════════════════════════
OUTCOME SUMMARY
  <Metric label>:   <value>
  Errors:           0
  Output:           <filename or "none">
══════════════════════════════════════════════
```

For `format: json`, emit:
```json
{
  "skill": "<skill-slug>",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    {
      "step": 1,
      "operation": "<OperationName>",
      "type": "query",
      "params_summary": "<string>",
      "result_summary": "<string>",
      "skipped": false
    }
  ],
  "outcome": {
    "metric_key": 0,
    "errors": 0,
    "output_file": null
  }
}
```

## Output Format
`human`: the full generated `llms.txt` + the post-publish step (create a Page on the `llms` template, or add a `/llms.txt` → page redirect). `json`: `{ theme_id, llms_txt, wrote: true|false, follow_up, errors }`.

## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| `THROTTLED` | API rate limit | Wait 2s, retry up to 3 times |
| `ACCESS_DENIED` | Missing `write_themes` | Abort; output the generated llms.txt so it can be added manually |
| No flagship products | Empty/new catalog | Publish header + policies + contact only |

## Best Practices
- Keep it short and high-signal — `llms.txt` is a map, not a dump; link to canonical pages rather than pasting content.
- Regenerate when the flagship lineup or policies change (the `agentic-readiness-monitor` routine can schedule this).
- Pair with `shopify-admin-agentic-crawler-access` — an llms.txt only helps if crawlers are allowed in.
- After publishing, add a storefront redirect `/llms.txt` → the page so it sits at the conventional path.

Examiner la source

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Licence: MIT
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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 182 stars, 18 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: 40RTY-ai/shopify-admin-skills
Licence: MIT
Version: 1.0.0
Dernier push GitHub: 14 août 2026
Registre mis à jour: 4 sept. 2026
Chemin des instructions: skills/agentic/shopify-admin-agentic-llms-txt/SKILL.md @ 6765cb4f436b

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

66/100

Prometteur

Confiance

62/100

Sandbox uniquement

Audit

75/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 182 stars, 18 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Résultats: —

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Plus de détails

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    "category": "ai-knowledge",
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      "license": "MIT",
      "repository": "https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/agentic/shopify-admin-agentic-llms-txt",
      "install": "npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-llms-txt",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 182 stars, 18 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 75,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 182 stars, 18 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 66,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use shopify-admin-agentic-llms-txt in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 75/100 Needs review",
      "Safety: 31/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "40rty-ai-shopify-admin-agentic-llms-txt (shopify-admin-agentic-llms-txt)",
      "install_command": "npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-agentic-llms-txt",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "40rty-ai-shopify-admin-agentic-llms-txt",
      "task": "Use shopify-admin-agentic-llms-txt in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/40rty-ai-shopify-admin-agentic-llms-txt",
    "api": "https://www.openagentskill.com/api/agent/skills/40rty-ai-shopify-admin-agentic-llms-txt",
    "audit": "https://www.openagentskill.com/skills/40rty-ai-shopify-admin-agentic-llms-txt/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=40rty-ai-shopify-admin-agentic-llms-txt&task=Use%20shopify-admin-agentic-llms-txt%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20shopify-admin-agentic-llms-txt%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20shopify-admin-agentic-llms-txt%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/40rty-ai-shopify-admin-agentic-llms-txt/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/40rty-ai-shopify-admin-agentic-llms-txt"
  }
}

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Créateur: 40RTY-ai
Source: 40RTY-ai/shopify-admin-skills
Indexé par: Index communautaire OpenAgentSkill

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