ingredient-research
Skill32 starsChanged 8 months agoMITView on GitHub
Deep research prompt for supplement/product ingredient evidence — gathers studies, claims, citations, and DR-relevant proof points for the R in RMBC
1 other project uses a version of this, 1 of them edited.
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- Zenobia0000/dtc-copywriting-skillsedited, first seen Mar 20, 2026
Other versions1 project uses a version of this.
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Edited · 1
- Zenobia0000/dtc-copywriting-skills★ 454% same
Wrote their own version · 0
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
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
- Very specific: line 28
Read rmbc-context/SKILL.md for RMBC methodology overview.
- Distinctive: line 40
Search for: randomized controlled trials, meta-analyses, peer-reviewed studies
- Distinctive: line 62
After individual research, identify:
- Distinctive: line 124
Every claim statement includes a specific citation (author, year, or source)
- Distinctive: line 125
No unsourced statistics — if a number appears, its origin is traceable
≈ “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
ingredient-research
Purpose
Systematic ingredient-level research tool for the "R" in RMBC. Gathers clinical studies, dosage data, bioavailability metrics, mechanism of action details, and DR-ready proof points per ingredient. Specificity beats persuasion — "94% improvement in a 30-day double-blind trial (n=120)" converts better than "clinically proven." Output feeds directly into mechanism ideation and copy writing.
Inputs
| Input | Required | Description |
product_name | Yes | Product or brand name |
ingredients | Yes | List of ingredients to research (comma-separated or bulleted) |
claims | No | Specific marketing claims to validate or find evidence for |
product_category | No | supplement (default), skincare, food, other |
Execution Protocol
Step 1 — Load Framework Context
Read rmbc-context/SKILL.md for RMBC methodology overview. This skill implements Pillar 4 of the Research phase: Ingredient Research.
Step 2 — Per-Ingredient Research Loop
For each ingredient in the list, systematically gather:
- Identity & Basics
- Full compound name, common aliases, standardized form (if applicable)
- Typical dosage range (clinical vs commercial)
- Bioavailability considerations (absorption rate, delivery method impact)
- Clinical Evidence
- Search for: randomized controlled trials, meta-analyses, peer-reviewed studies
- Capture: author(s), year, journal, sample size, duration, key finding
- Prioritize: human trials over animal/in-vitro, larger sample sizes, recent studies
- Note patent numbers and clinical trial IDs (NCT numbers) when found
- Mechanism of Action
- How the ingredient works at a biological/chemical level
- Pathway or system it targets (e.g., "inhibits 5-alpha reductase," "upregulates AMPK")
- Why this mechanism matters to the end consumer (plain-language translation)
- DR-Ready Proof Points
- Extract specific, citable statistics and outcomes
- Translate findings into compliant claim language
- Flag any FTC/FDA compliance considerations for the claim type
- Differentiators
- Patented or branded forms (e.g., "Bioperine" vs generic black pepper extract)
- Sourcing or quality markers (organic, wild-harvested, GMP-certified)
- What makes this ingredient or its form unique vs commodity versions
Step 3 — Cross-Ingredient Analysis
After individual research, identify:
- Synergistic combinations (ingredients that amplify each other)
- Potential contraindications or redundancies
- Strongest proof cluster (which ingredients carry the most citable evidence)
- Gaps where evidence is thin (flag for mechanism ideation to work around)
Step 4 — Compile Output
Assemble per-ingredient briefs and cross-ingredient analysis into the output format below.
Output Format
Per-Ingredient Research Brief
## [Ingredient Name]
**Common dosage range:** [range] | **Form in product:** [if known]
### Key Studies
1. [Author et al., Year] — [Journal/Source]
Finding: [specific result]
Sample: n=[size] | Duration: [length] | Type: [RCT/meta-analysis/observational]
2. [repeat for each relevant study, max 5]
### Mechanism of Action
[2-3 sentences: what it does, how, and why that matters]
### DR-Ready Claim Statements
- "[Specific claim with number]" — Source: [citation]
- "[Specific claim with number]" — Source: [citation]
(Proof strength: Strong / Moderate / Weak)
### Differentiators
- [Patented form, sourcing, or unique quality marker]
### Compliance Notes
- [Any FTC/FDA flags for this ingredient's claims]Cross-Ingredient Summary
## Cross-Ingredient Analysis
**Synergies:** [which ingredients amplify each other and why]
**Strongest proof cluster:** [top 2-3 ingredients by evidence quality]
**Evidence gaps:** [ingredients with thin or only anecdotal support]
**Recommended mechanism angles:** [preliminary angles for mechanism-ideation]Proof Strength Rating
| Rating | Criteria | Example |
| Strong | RCT, meta-analysis, or large-scale human trial (n>50) in peer-reviewed journal | "73% reduction in joint pain (n=120, 12-week RCT, Journal of Nutrition)" |
| Moderate | Observational study, small human trial (n<50), or well-designed animal study | "Participants reported 40% improvement (n=30, open-label pilot)" |
| Weak | In-vitro only, anecdotal, or single non-replicated study | "Showed antioxidant activity in cell culture (University of X, 2019)" |
Quality Criteria
- Every claim statement includes a specific citation (author, year, or source)
- No unsourced statistics — if a number appears, its origin is traceable
- Mechanism of action is explained in both technical and plain-language terms
- Compliance flags are present for any claim that could trigger FTC/FDA scrutiny
- At least 2 studies per ingredient (or explicit note that evidence is limited)
- Proof strength rating assigned to every DR-ready claim statement
Related Skills
- Output feeds into
/mechanism-ideationfor novel angle development from proof points - Output feeds into
/unified-research-synthesizerfor full brief compilation across all 4 research pillars - Copy using this research should be validated with
/rmbc-copy-audit
Non-Supplement Adaptation
For product_category values other than supplement:
| Category | "Ingredient" Equivalent | Research Focus |
skincare | Active compounds (retinol, niacinamide, peptides) | Dermatological studies, concentration data, skin penetration |
food | Nutritional components, sourcing, processing methods | USDA data, bioavailability, comparative nutrition studies |
other | Material specs, components, manufacturing processes | Patents, engineering data, durability/performance testing |
The output format remains identical — substitute "ingredient" with the relevant component type.
Attribution
Generated using RMBC framework by Stefan Georgi. Learn more: copyaccelerator.com/join
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