hook-everything
Skill19 starsChanged 9 days agoMITView on GitHub
Build ethical psychological hooks, trust signals, and human-sounding copy across writing and product UX. Use when drafting or auditing copy, campaigns, or onboarding flows.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- anti-slopSkill
- audience-calibrationSkill
- creative-ideationSkill
- hook-compoundingSkill
- marketing-hooksSkill
- market-intelligenceSkill
- product-hooksSkill
- psychology-mapSkill
- self-reviewSkill
- trust-architectureSkill
- value-checkSkill
- visual-ux-hooksSkill
- writing-hooksSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Check whether the audience is in Central Route (high scrutiny, low construal) or Peripheral Route (fast-scrolling, low ability) processing, …
- Very specific: line 28
Run python3 tools/slop_scan.py <file> --fix-hints (target <= 15/100) and reread the draft as a native reader with …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Hook Everything (v5.1)
Architect invisible psychological pull, live market relevance, deep credibility, and natural human prose across marketing, writing, and product projects in any language.
When to Use
Use this suite when researching live market trends and Voice-of-Customer (VoC) language via skills/market-intelligence (while filtering out forced trend-jacking), calibrating tone and proof density to specific audiences via skills/audience-calibration, or brainstorming non-cliche hook concepts via skills/creative-ideation. It also governs layering 3-4 mechanisms simultaneously via skills/hook-compounding, designing zero-scam marketing campaigns (skills/marketing-hooks), structuring spatial layouts (skills/visual-ux-hooks), building product flows (skills/product-hooks), writing long-form pieces (skills/writing-hooks), and auditing text in any language so it passes all 85 rules in skills/anti-slop and scores <= 15/100 on tools/slop_scan.py.
The 7-Stage Execution Pipeline
- Scan Live Market & Filter for Organic Fit (
skills/market-intelligence/SKILL.md) Query live market signals and 2-to-4 star user reviews. Apply the Organic Fit Gate so a market trend is woven in only if it causally impacts the user's problem. - Calibrate to Audience & Channel (
skills/audience-calibration/SKILL.md) Check whether the audience is in Central Route (high scrutiny, low construal) or Peripheral Route (fast-scrolling, low ability) processing, then set register and evidence density. - Ideate via Bisociation (
skills/creative-ideation/SKILL.md) Discard the first 3 default LLM ideas (First-3 Graveyard) and collide real user friction with 6 structural lenses. - Establish Trust & Compose Hook Chords (
skills/trust-architecture/SKILL.md+skills/hook-compounding/SKILL.md) CombineTrust Damper + Cognitive Anchor + Active Generator + Forward Vectorand rotate chords horizontally. - Apply Spatial & Perceptual Structure (
skills/visual-ux-hooks/SKILL.md) Structure visual isolation (Von Restorff), choice caps (Iyengar & Lepper), skimmer eye-brakes, and response timing. - Execute Domain Playbook (
marketing-hooks,writing-hooks, orproduct-hooks) Draft the deliverables with micro-commitment ladders, regret elimination, and earned payoffs. - Enforce 85-Rule Anti-Slop, Self-Review & 13-Point Value Gate (
anti-slop+self-review+value-check) Runpython3 tools/slop_scan.py <file> --fix-hints(target<= 15/100) and reread the draft as a native reader withskills/self-review/SKILL.mdand rewrite anything that still sounds machine-made, then verify all 13 checks invalue-check.
Bundled Skills & Tools (13 Skills + CLI Scanner)
| Resource Path | Role in the Suite |
skills/psychology-map/SKILL.md | 30 empirical behavioral and trust mechanisms across 6 layers. |
skills/trust-architecture/SKILL.md | ABI trust model, inoculation, operational transparency, and costly signaling. |
skills/market-intelligence/SKILL.md | Live web VoC/competitor mining and the Organic Fit Gate (no forced trends). |
skills/audience-calibration/SKILL.md | ELM Central/Peripheral routing and Construal Level calibration. |
skills/creative-ideation/SKILL.md | First-3 Graveyard pruning and Koestler Bisociation hook generator. |
skills/hook-compounding/SKILL.md | Combining 3-4 hooks simultaneously (5 Master Chords) and horizontal rotation. |
skills/visual-ux-hooks/SKILL.md | Von Restorff isolation, Choice Overload, eye-tracking brakes, and timing thresholds. |
skills/marketing-hooks/SKILL.md | High-conversion, zero-scam behavioral conversion architecture. |
skills/writing-hooks/SKILL.md | Openers, False-Summit retention bridges, 90/10 generation gaps, and pacing. |
skills/product-hooks/SKILL.md | Sandbox onboarding, Day 1-30 habit graduation, multiplayer loops, and offboarding. |
skills/anti-slop/SKILL.md | 85 deep stylometric, cross-linguistic, and anti-hype rules. |
skills/self-review/SKILL.md | Cold reread as a native reader in any language, with up to 3 rewrite rounds. |
skills/value-check/SKILL.md | 13-point ethical, payoff, organic-fit, and subtlety gate. |
tools/slop_scan.py | Zero-dependency Python CLI scanner (v5.1) measuring 18 stylometric and anti-hype indicators. |
research/SOURCES.md | 31-row primary academic literature, rating key, and replication audit. |
examples/before-after.md | 16 annotated transformations across all domains. |
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