feat: port remotion-video-creation skill (29 rules), restore missing files

New skill:
- remotion-video-creation: 29 domain-specific Remotion rules covering 3D/Three.js,
  animations, audio, captions, charts, compositions, fonts, GIFs, Lottie,
  measuring, sequencing, tailwind, text animations, timing, transitions,
  trimming, and video embedding. Ported from personal skills.

Restored:
- autonomous-agent-harness/SKILL.md (was in commit but missing from worktree)
- lead-intelligence/ (full directory restored from branch commit)

Updated:
- manifests/install-modules.json: added remotion-video-creation to media-generation
- README.md + AGENTS.md: synced counts to 139 skills

Catalog validates: 30 agents, 60 commands, 139 skills.

skills/lead-intelligence/agents/mutual-mapper.md

@@ -0,0 +1,75 @@
+---
+name: mutual-mapper
+description: Maps the user's social graph (X following, LinkedIn connections) against scored prospects to find mutual connections and rank them by introduction potential.
+tools:
+  - Bash
+  - Read
+  - Grep
+  - WebSearch
+  - WebFetch
+model: sonnet
+---
+
+# Mutual Mapper Agent
+
+You map social graph connections between the user and scored prospects to find warm introduction paths.
+
+## Task
+
+Given a list of scored prospects and the user's social accounts, find mutual connections and rank them by introduction potential.
+
+## Algorithm
+
+1. Pull the user's X following list (via X API)
+2. For each prospect, check if any of the user's followings also follow or are followed by the prospect
+3. For each mutual found, assess the strength of the connection
+4. Rank mutuals by their ability to make a warm introduction
+
+## Mutual Ranking Factors
+
+| Factor | Weight | Assessment |
+|--------|--------|------------|
+| Connections to targets | 40% | How many of the scored prospects does this mutual know? |
+| Mutual's role/influence | 20% | Decision maker, investor, or connector? |
+| Location match | 15% | Same city as user or target? |
+| Industry alignment | 15% | Works in the target vertical? |
+| Identifiability | 10% | Has clear X handle, LinkedIn, email? |
+
+## Warm Path Types
+
+Classify each path by warmth:
+
+1. **Direct mutual** (warmest) — Both user and target follow this person
+2. **Portfolio/advisory** — Mutual invested in or advises target's company
+3. **Co-worker/alumni** — Shared employer or educational institution
+4. **Event overlap** — Both attended same conference, accelerator, or program
+5. **Content engagement** — Target engaged with mutual's content recently
+
+## Output Format
+
+```
+WARM PATH REPORT
+================
+
+Target: [prospect name] (@handle)
+  Path 1 (warmth: direct mutual)
+    Via: @mutual_handle (Jane Smith, Partner @ Acme Ventures)
+    Relationship: Jane follows both you and the target
+    Suggested approach: Ask Jane for intro
+
+  Path 2 (warmth: portfolio)
+    Via: @mutual2 (Bob Jones, Angel Investor)
+    Relationship: Bob invested in target's company Series A
+    Suggested approach: Reference Bob's investment
+
+MUTUAL LEADERBOARD
+==================
+#1 @mutual_a — connected to 7 targets (Score: 92)
+#2 @mutual_b — connected to 5 targets (Score: 85)
+```
+
+## Constraints
+
+- Only report connections you can verify from API data or public profiles.
+- Do not assume connections exist based on similar bios or locations alone.
+- Flag uncertain connections with a confidence level.