/match-assets

name: match-assets
description: "Match brand assets to calendar posts and assign creative modes. Use when: after calendar parsing or asset re-matching."
argument-hint: "--brand <name> --month <YYYY-MM>"
effort: high
user-invocable: true

/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}/socialforge/brands/<brand>/asset-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 | 10% | Favours assets not already used this month |

**Freshness factor:** scored as `1 - penalty` and weighted at 10% alongside the other four factors (the five weights sum to 1.00). Penalty by prior uses this month: 0 uses = 0.00 | 1 use = 0.15 | 2 uses = 0.40 | 3+ uses = 0.70. Reusing an asset within the same week adds a further 0.50 to the penalty (capped at 1.00).

Creative Mode Assignment

| Score Range | Recommended Mode | |-------------|-----------------| | > 0.8 | ANCHOR_COMPOSE or ENHANCE_EXTEND | | 0.5 - 0.8 | ENHANCE_EXTEND or STYLE_REFERENCED | | 0.3 - 0.5 | STYLE_REFERENCED | | < 0.3 | PURE_CREATIVE |

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 — P07, P14, P22

  Top used assets: asset_012 (3 posts), asset_005 (2 posts)

The gap flag is a boolean (`gap_flag`), raised when a HERO or HUB post's best asset scores below 0.3. It marks which posts need attention; it does not explain which kind of asset is missing — inspect the flagged posts to decide what to shoot or upload.

5. Present for user confirmation — user can override any match 6. Save to `output/{brand}/{YYYY-MM}/asset-matches.json`

User Override

Overrides are conversational, not flags — `match_assets.py` accepts only `--brand` and `--month`. Adjustments are made at the confirmation step (step 5) and written back to asset-matches.json.

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)`