🎬 Creative Director Skill

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Created in collaboration with Paul Deadcough.

An AI creative director that generates advertising concepts using world-class methodologies, scores them against Cannes/D&AD-calibrated criteria, recursively refines until the quality threshold is reached, and calibrates every idea against a library of 571 legendary campaigns to detect saturation and ensure originality.

Not a brainstorming toy. A structured creative process that mirrors how top agencies (Droga5, Wieden+Kennedy, Mother) actually work — insight before ideas, methodology over free association, honest evaluation over flattery, calibration against the canon over invention from zero.

What's New in v2.0

• 571-case library with full Insight / Mechanic / Why-it-worked / Steal structure on every card
• 17-axis frontmatter schema — every card tagged across pattern (P01-P18), industry, format, emotion (Tier 1/2/3), budget, idea_type (Pollard 7-level), awards, and more
• 6 MOCs (Maps of Content) for fast lookup by pattern, emotion, format, industry, budget, and chronological index
• 4-point case library integration in workflow — priming before generation, originality empirical cap, RESTART case-soaking, pattern calibration before exit
• 3 maintenance scripts (Python via uv) — schema validation, MOC generation, graph wikilinks
• Pollard 7-level idea taxonomy replacing the previous 3-level system
• 3-tier emotion hierarchy with 30+ specific emotion values
• Activation toolkit with 9 formats and the Non-advertising vs Execution test
• Pre-Mortem template before final delivery

Quality reviewed via skill-conductor: 41/50 production-grade (Discovery 7/10, Clarity 9/10, Efficiency 7/10, Robustness 8/10, Completeness 10/10).

What It Does

Feed it a brief in any format — text, voice transcript, PDF, raw notes — and it runs a full creative cycle:

1. INTAKE — extracts the brief's DNA: product, audience, objectives, constraints + classifies the required idea level using Pollard 7-level taxonomy (business / brand / tagline / advertising / campaign / non_advertising / execution)
2. INSIGHT — mines consumer insights using 7 proven techniques (Mark Pollard, JTBD, Tension Spotting, HMW, Abstraction Laddering)
3. IDEATION — primes against the canon (scans 5-7 cases from the relevant MOC), then generates 8-12 ideas using 3 methods from different categories (structural × associative × disruptive), rotating between 20+ methodologies, with a Tension test on each
4. EVALUATE + REFINE — scores against 6 weighted criteria + HumanKind + Grey Scale, then recursively improves; Originality is capped empirically by case-library saturation (3+ canonical cases of the same mechanic → cap at 7); when stuck, RESTARTs through case-soaking (read 8-12 canonical cards, remix allowed); Pattern Calibration + Pre-Mortem before exit
5. ARTICULATE — outputs in a presentation-ready format (one-pager, top-3, campaign platform, or quick response)

You can also enter at any phase: jump to insight mining, evaluate an existing idea, or generate concepts from a known insight.

Why This Exists

Most AI "creative" tools generate ideas by free association — producing volume without structure. The result: hundreds of mediocre concepts that nobody can evaluate, often unknowingly recycling work that already exists.

This skill enforces the discipline that separates award-winning work from filler:

• Insight-first — no ideation without a validated consumer tension
• Structural methods — SIT, TRIZ, SCAMPER, Bisociation, Synectics, not "give me 10 ideas"
• Empirical originality — every idea is checked against 571 real campaigns; if 3+ canonical cases use the same mechanic, originality is capped, not subjectively claimed
• Honest scoring — calibrated against real Cannes winners, with anti-inflation rules
• Recursive refinement — weak criteria get targeted improvement using different methods each pass
• Case-soaking on plateau — when ideas plateau, the skill reads 8-12 canonical cards to re-train its sense for what a strong insight feels like; combining/remixing existing patterns is explicitly allowed (this is how Cannes-grade work is built)
• Kill Your Darlings — the skill argues against its own favorite ideas to test their strength
• Pre-Mortem — before delivery, simulates failure and surfaces the most likely failure modes

What's Inside

creative-director/
├── SKILL.md                                  # Core skill — phase router + 5-phase workflow
├── assets/
│   └── output-templates.md                   # 4 presentation formats
├── scripts/                                  # Python via uv (PEP 723 inline deps)
│   ├── validate_schema.py                    # Frontmatter validation against tag-schema
│   ├── generate_mocs.py                      # Builds 6 MOCs from cards
│   └── generate_links.py                     # Adds Related sections (idempotent)
└── references/
    ├── tag-schema.md                         # Single source of truth — 17-axis frontmatter contract
    ├── idea-taxonomy.md                      # Pollard 7-level taxonomy
    ├── emotion-hierarchy.md                  # Tier 1/2/3 + 30+ specific emotion values
    ├── activation-toolkit.md                 # 9 activation formats + Non-ad vs Execution test
    ├── legendary-patterns.md                 # P01-P18 mechanics + Pre-Mortem template
    ├── methods-catalog.md                    # 20 creative methodologies as executable cards
    ├── method-selection-matrix.md            # Task → method routing + rotation rules
    ├── insight-mining.md                     # 7 insight discovery techniques
    ├── scoring-calibration.md                # Detailed rubrics + calibration anchors
    ├── creative-constitution.md              # 3-layer evaluation system + feedback rules
    ├── storytelling-frameworks.md            # 6 narrative frameworks for advertising
    └── legendary-campaigns/                  # 571-case library
        ├── README.md                         # Library guide
        ├── MOC-index.md                      # All 571 cards by year DESC
        ├── MOC-pattern.md                    # Grouped by P01–P18 (18 mechanics)
        ├── MOC-emotion.md                    # Grouped by emotion_tier (3 → 2 → 1)
        ├── MOC-format.md                     # Grouped by category (film/integrated/stunt_pr/...)
        ├── MOC-industry.md                   # Grouped by industry vertical
        ├── MOC-budget.md                     # Grouped by budget (low/medium/high)
        └── cards/                            # 571 individual cards (flat namespace)
            └── {id}.md

Case Library

571 advertising campaigns from 1950–2025, tagged across 17 axes, with full structural analysis on every card.

Card structure

Each card has YAML frontmatter (17 axes — see references/tag-schema.md) + 4 sections:

• Insight — the human truth the campaign exploits (one sentence)
• Mechanic — what was actually executed
• Why it worked — psychological / cultural / structural reason
• Steal — pattern-level borrow strategy
• Related — auto-generated wikilinks (pattern hub + 2 sibling cards + emotion match)

Tag schema (17 axes)

id, title, brand, agency, year, country, region, industry, pattern[] (P01–P18), category, idea_type (Pollard 7-level), involvement, channel, duration, goal[], budget, emotion[], emotion_tier (1/2/3), insight_domain, media_epoch, awards[], quality_score (HumanKind 1–10), scalability, risk.

18 patterns (P01–P18)

Format as Idea · Enemy or Conflict · Behavior Inversion · Brand as Activist · Cultural Hijack · Limitation as Power · Invisible Brand · Craft as Message · User as Co-Author · Serialization & Ritual · Absurd as Carrier · Social Experiment · Truth Telling · Product as Proof · Benefit Hyperbole · Long-form Drama · Design as Idea · Tech as Canvas

Lookup strategies

# Browse by axis — open the matching MOC
# Each line has inline-context (brand · year · format · emotion · budget · top_award)

# Filter by combination — ripgrep on frontmatter
rg -l "^budget: low$" cards/ | xargs rg -l "^emotion_tier: 3$"

# All P11 cases since 2020
rg -l "P11" cards/ | xargs rg -l "^year: 202"

# All canonical cases for QSR
rg -l "^industry: qsr$" cards/ | xargs rg -l "^quality: canonical$"

Saturation map (originality pressure)

This is empirical saturation, not subjective novelty.

Methodologies (20+)

Evaluation System

Three parallel scoring systems calibrated against real campaigns:

• 6 Weighted Criteria — Originality (0.25, empirically capped by case library), Strategic Fit (0.20), Emotional Response (0.20, Tier 1/2/3 hierarchy), Feasibility (0.15), Scalability (0.10), Simplicity (0.10)
• HumanKind Scale (Leo Burnett) — 1-10, from "Destructive" to "Changes the World"
• Grey Scale (Grey Group) — 1-10, from "Toxic" to "Best in the World"

Anti-inflation rules: batch control, normal distribution enforcement, real analogues test, specificity test, time test, empirical saturation cap from case library.

Idea Taxonomy (Pollard 7-level)

Activation diagnostic: if brief mentions activation/stunt/utility — apply the test "remove the campaign, does it still have meaning?" → Yes = non_advertising / No = execution.

Emotion Hierarchy (Tier 1/2/3)

• Tier 1 (forgettable): happy, sad, angry, afraid → score ≤ 6
• Tier 2 (memorable): nostalgic, defiant, proud, ironic, etc. → score 6–8
• Tier 3 (greatness): bittersweet pride, ironic sincerity, vulnerable defiance, etc. → score 8–10
• Score 9+ requires Tier 3.

How Recursion Works

Generate ideas (3 methods, 8-12 ideas, primed against canon)
        ↓
Tension test on each idea
        ↓
Score top 3 (6 criteria + HumanKind + Grey, originality capped by saturation)
        ↓
    Score ≥ 9? ──→ YES → Pattern Calibration + Pre-Mortem → Output
        ↓ NO
Identify weak criteria → Apply different method → Rescore
        ↓
    Plateau? ──→ YES → RESTART via case-soaking
        ↓             (read 8-12 canonical cards, remix allowed)
        ↓ NO
    Continue refinement
        ↓
    5 passes? ──→ YES → Output best + honest assessment

Storytelling Frameworks

Story Spine (Pixar) · Sparkline (Nancy Duarte) · Freytag's Pyramid · Monroe's Motivated Sequence · Pixar Rules · Hero's Journey (StoryBrand)

Installation

Claude Code (recommended)

git clone https://github.com/smixs/creative-director-skill.git
cp -r creative-director-skill/creative-director ~/.claude/skills/

After installation, restart Claude Code session (/clear or new session) to pick up the skill.

Claude Projects

Add the files to your Claude Project's knowledge base. Upload all files from creative-director/ — SKILL.md is the entry point, it references other files via [[wikilinks]].

Other AI Agents (Cursor, Windsurf, GPT, Gemini)

The skill works with any AI agent that supports structured instructions — the core logic is in markdown files, no platform lock-in. Copy the creative-director/ folder to your project or skills directory.

Maintenance Scripts

Three Python scripts (run via uv run, PEP 723 inline deps — no manual setup):

cd creative-director
uv run scripts/validate_schema.py        # Validate all card frontmatter
uv run scripts/generate_mocs.py          # Rebuild 6 MOCs from cards
uv run scripts/generate_links.py         # Rebuild Related sections (idempotent)

Run pipeline: edit/add cards → validate → regenerate MOCs → regenerate links.

Usage Examples

Full creative cycle:

"Come up with a campaign for [brand]. Target audience: [who]. Budget: [range]. Channels: [where]."

Insight mining:

"Find a consumer insight for [category]. The brief says [context]."

Evaluate an existing idea:

"Evaluate this concept: [description]. The brief objective was [goal]."

Activation / non-advertising:

"Need a PR-stunt for [brand]. Low budget, must drive earned media in a week. Not a campaign — a one-shot activation."

Quick ideation:

"Need 5 concepts for [brand] social media posts about [topic]."

What It's Not For

• Media planning or budget allocation
• Production management
• Brand identity / logo design
• Final copywriting (it generates concepts, not polished copy)
• Market research data collection
• Brand positioning warmaps (use a dedicated positioning skill)

Limitations & Honest Notes

• Auto-trigger in claude -p mode is unreliable. This is an advisory skill — when invoked through one-shot CLI, the model often answers creative briefs directly without consulting it. For consistent behavior in interactive sessions, invoke explicitly or share a detailed brief (>500 chars with structure).
• 571 source URLs are unverified. Library was built from public award-show indexes; verify links manually before citing in client work.
• 12 cards have confidence: low with verification_required: true — these should be cross-checked against external sources. The skill prefers quality: canonical cards for calibration.
• Library is static. New campaigns from 2026+ are not auto-added; periodic manual extension required.

Credits

Created in collaboration with Paul Deadcough.

Built on methodologies from: Jacob Goldenberg (SIT), Genrich Altshuller (TRIZ), Edward de Bono (Lateral Thinking, Six Hats, PO), Arthur Koestler (Bisociation), William Gordon (Synectics), Brian Eno (Oblique Strategies), Nancy Duarte (Sparkline), Joseph Campbell / Donald Miller (Hero's Journey / StoryBrand), Leo Burnett (HumanKind), Mark Pollard (Strategy + 7-level Taxonomy), Clayton Christensen (JTBD).

Creative Constitution based on the Voskresensky/IKRA approach.

Case library curated from D&AD, Cannes Lions, One Show, Webby, and Effie shortlists 1950–2025.

License

MIT — use it, fork it, make better ads.