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Match Assets

skill-indranilbanerjee-socialforge-match-assets · by indranilbanerjee

Match brand assets to calendar posts and assign creative modes. Use when: after calendar parsing or asset re-matching.

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Install

$ agentstack add skill-indranilbanerjee-socialforge-match-assets

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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28d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

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About

/socialforge:match-assets — Asset Matcher

Match brand assets to parsed calendar posts using the multi-factor scoring algorithm. Assigns one of 4 creative modes per post.

Context efficiency

Asset-heavy skill. Grep before Read the asset catalog (${CLAUDE_PLUGIN_DATA}//assets/index.json) — never list the asset directory. Reference generated images / videos by path, not by loading metadata. Brand profile loads once per session.

Prerequisites

  • Calendar parsed (calendar-data.json exists)
  • Asset index built (asset-index.json exists)

If either is missing, prompt: "Run /socialforge:parse-calendar first, then /socialforge:index-assets."

The Matching Algorithm

For each post, calculate a multi-factor score against every indexed asset:

| Factor | Weight | What It Measures | |--------|--------|------------------| | Tag Overlap | 30% | Post keywords vs asset tags | | Suitability Match | 25% | Asset's "suitable_for" vs post context | | Content Bucket Match | 20% | Does asset suit this content bucket? | | Crop Feasibility | 15% | Can asset be cropped to all required platform ratios? | | Freshness Penalty | 10% | Penalize assets used recently this month |

Freshness penalty: 0 uses = no penalty | 1 use = score x 0.85 | 2 uses = score x 0.60 | 3+ uses = score x 0.30

Creative Mode Assignment

| Score Range | Recommended Mode | |-------------|-----------------| | > 0.8 | ANCHORCOMPOSE or ENHANCEEXTEND | | 0.5 - 0.8 | ENHANCEEXTEND or STYLEREFERENCED | | 0.3 - 0.5 | STYLEREFERENCED | | < 0.3 | PURECREATIVE |

Also selects 2-5 style reference images per post (always fed to AI generation alongside prompts).

Process

  1. Load calendar-data.json and asset-index.json
  2. For each post: extract keywords → score all assets → rank → assign mode
  3. Select style references per post
  4. Generate coverage report

Coverage Report

Asset Matching Complete: 28 posts
  ANCHOR_COMPOSE: 8 posts (direct brand asset matches)
  ENHANCE_EXTEND: 5 posts (asset needs enhancement)
  STYLE_REFERENCED: 9 posts (AI gen guided by brand DNA)
  PURE_CREATIVE: 4 posts (full AI generation)
  CAROUSEL_TEMPLATE: 2 posts (HTML template rendering)

  Asset gaps: 3 posts flagged (should have brand assets but none found)
    - P07: Founder post but no founder photos indexed
    - P14: Product demo but no product screenshots available
    - P22: Office culture post but no office photos

  Top used assets: asset_012 (3 posts), asset_005 (2 posts)
  1. Present for user confirmation — user can override any match
  2. Save to output/{brand}/{YYYY-MM}/asset-matches.json

User Override

For any post, user can:

  • Accept the recommendation
  • Select a different asset: "Use asset_015 for P07"
  • Change creative mode: "Make P14 PURE_CREATIVE instead"
  • Upload a new asset on the spot
  • Skip: "I'll handle P22 manually"

Timeout & Fallback

  • Per-post matching: 5-second timeout. If an asset index is very large (500+ images), process in batches.
  • Show progress: [12/28] Matching Post P12 — best match: asset_023 (score: 0.74, STYLE_REFERENCED)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.