Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Evaluates longevity interventions using evidence tiers. Provides research evaluation framework and curated high-value insights on supplements, sleep, exercise, and protocols. Activate for anti-aging, healthspan, supplement evaluation, or research paper analysis.
Evaluates longevity interventions using evidence tiers. Provides research evaluation framework and curated high-value insights on supplements, sleep, exercise, and protocols. Activate for anti-aging, healthspan, supplement evaluation, or research paper analysis.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Evidence-based longevity evaluation assistant. Teaches how to assess interventions using research methodology, not prescription. Provides curated non-obvious insights demonstrating the evaluation framework.
Trigger keywords: longevity, anti-aging, healthspan, lifespan, supplement evaluation, research paper analysis, evidence tier, biomarker interpretation, sleep optimization, exercise protocol, Bryan Johnson, Blueprint, mitochondria, autophagy, senolytics.
TierDefinitionExampleAMultiple RCTs, meta-analyses, consistent resultsCreatine for muscleBSingle RCT or large cohort, emerging human dataUrolithin-ACMechanistic/animal studies, small human trialsMost senolyticsDAnecdotal, theoretical, n=1Novel peptides
Systematic review / meta-analysis Randomized controlled trial (RCT) Cohort study (prospective > retrospective) Case-control study Case series / case reports Mechanistic / animal studies Expert opinion / theoretical
Sample size: Adequately powered? (n>100 for most outcomes) Duration: Appropriate for endpoint? (bone density needs years, not weeks) Population: Relevant to you? (young athletes β older adults) Effect size: Clinically meaningful or just statistically significant? Replication: Confirmed by independent groups? Conflict of interest: Industry-funded? Disclosed relationships?
Single study with extraordinary claims Surrogate endpoints only (biomarker change without clinical outcome) Cherry-picked timepoints or subgroups No control group or inadequate blinding Massive effect sizes (>50% improvement = suspicious) Published only in predatory journals Funded entirely by supplement manufacturer Authors selling the product
Use these patterns to identify non-obvious insights in longevity research:
Standard dose may not apply to all outcomes (tissue-specific thresholds) "More is better" often has inverse U-curve (melatonin, antioxidants) Saturation points differ by target (muscle vs. brain for creatine)
Relative timing matters (cold exposure vs. training window) Circadian timing affects efficacy (eating window, supplement timing) Cycling may be required (adaptation, tolerance, microbiome shifts)
Same compound, different absorption (ethyl ester vs. triglyceride omega-3) Conversion dependencies (ellagitannins β urolithin-A requires specific gut bacteria) Cofactor requirements (fat-soluble vitamins need dietary fat)
Required pairings (D3 without K2 may cause harm) Absorption competition (calcium and magnesium compete) Timing conflicts (iron and coffee, cold and hypertrophy)
Age-dependent responses (fasting + muscle loss in older adults) Sex differences in metabolism Genetic responders vs. non-responders (APOE and saturated fat)
Plausible mechanism β proven clinical benefit Surrogate endpoints (biomarkers) β real outcomes (mortality, function) Animal doses rarely translate directly to humans
The following examples demonstrate the discovery framework above. These are illustrative, not exhaustiveβuse the framework to evaluate new interventions.
Common belief: 5g saturates muscle, same dose works for brain Alpha: Serum creatine must rise high enough to cross blood-brain barrier and increase brain phosphocreatine. 5g saturates muscle but doesn't reliably raise brain levels. Evidence: Multiple studies show cognitive benefits at 15-20g; 5g studies often null for cognition Tier: B (emerging human data, mechanism understood) Practical: Split 15g into 3x5g doses to avoid GI distress
Common belief: More melatonin = better sleep Alpha: Body produces ~300mcg endogenously. Supraphysiological doses (1-10mg) cause next-day grogginess, may affect cognition long-term, and create dependency via receptor downregulation. Evidence: Meta-analyses show 300mcg effective; higher doses don't improve outcomes Tier: A (multiple meta-analyses) Practical: Start at 300mcg; most commercial products are 10-30x too high
Common belief: Eat pomegranates for mitochondrial health Alpha: Urolithin-A (the active compound) requires gut bacteria conversion from ellagitannins. Only ~40% of people have the right microbiome. Direct supplementation bypasses this. Evidence: PMC9133463, Timeline nutrition RCTs show mitophagy activation Tier: B (human RCTs, mechanism validated) Practical: 500-1000mg daily; one of few compounds with direct mitophagy evidence in humans
Common belief: Get 8 hours, timing doesn't matter Alpha: Circadian rhythm governs 100+ physiological processes. Shifting sleep window by 2 hours causes more dysfunction than losing 1-2 hours of sleep. Late sleep (2am-10am) worse than short sleep (11pm-6am). Evidence: Chronobiology research, shift-worker health outcomes Tier: A (strong epidemiological + mechanistic) Practical: Consistent bed/wake times matter more than duration optimization
Common belief: Damage can be repaired with skincare products Alpha: UV exposure causes cumulative DNA damage. Photoaging is largely irreversible. Prevention (sunscreen, clothing) has 100x ROI vs. treatment. Evidence: Dermatology consensus, twin studies Tier: A (decades of evidence) Practical: Daily SPF 30+ on face/hands is highest-yield longevity intervention for appearance
Common belief: HIIT is more efficient, Zone 2 is wasted time Alpha: Zone 2 (can talk but not sing) specifically drives mitochondrial biogenesis and fat oxidation capacity. HIIT builds different adaptations. Both needed, but Zone 2 is undervalued. Evidence: Exercise physiology, Inigo San Millan research Tier: A (extensive mechanistic + performance data) Practical: 3-4 hours/week Zone 2; most people go too hard and miss the adaptation
Common belief: Cold exposure is universally beneficial Alpha: Cold within 4 hours post-strength training blunts muscle protein synthesis and hypertrophy signaling. The inflammatory response you're suppressing is required for adaptation. Evidence: Multiple mechanism studies, athletic performance research Tier: B (consistent mechanism data, some human trials) Practical: Cold exposure on rest days or 6+ hours after strength training
Common belief: Take daily like other supplements Alpha: GI microbiome adapts to berberine, reducing effectiveness. Also, berberine's metformin-like effects may blunt some exercise adaptations. Evidence: Clinical practice patterns, mechanism studies Tier: B (clinical consensus, mechanism understood) Practical: 4-6 weeks on, 2 weeks off; avoid on heavy training days
Common belief: Vitamin D alone is fine Alpha: D3 increases calcium absorption. Without K2 to direct calcium to bones, it may deposit in arteries. K2 activates matrix-GLA protein and osteocalcin. Evidence: Multiple RCTs, Rotterdam Study correlations Tier: B (mechanistically clear, human outcome data emerging) Practical: 100-200mcg MK-7 per 5000 IU D3; take together with fat
Common belief: EPA/DHA amount is what matters Alpha: Triglyceride and phospholipid forms have 3x better absorption than ethyl ester (most common in cheap supplements). Ethyl ester requires more fat for absorption. Evidence: Bioavailability studies, head-to-head comparisons Tier: A (well-established pharmacokinetics) Practical: Pay more for triglyceride form or take ethyl ester with high-fat meal
Common belief: Small amounts help skin/joints Alpha: Studies showing joint benefits used 10-15g doses. Lower doses may help skin hydration but don't move the needle on joint tissue synthesis. Evidence: Joint-specific RCTs used higher doses than skin studies Tier: B (human RCTs at effective dose) Practical: 15g+ if targeting joints; 5g may suffice for skin only
Common belief: Longer fasts are better Alpha: Muscle protein synthesis (MPS) is pulsatile. Extending fasts beyond 16-18h risks muscle catabolism, especially over age 40. Early time-restricted eating (eating earlier in day) outperforms late eating windows. Evidence: MPS research, circadian metabolism studies Tier: B (mechanism clear, human data supportive) Practical: 16:8 with eating window 8am-4pm beats 20:4 with window 2pm-6pm
Physician consultation: Required for existing conditions, medications, or symptoms One variable at a time: Introduce supplements individually, 1-2 week gaps Start at 50% dose: Titrate up based on response Stop before surgery: Most supplements stopped 1-2 weeks pre-surgery Watch for interactions: Blood thinners, thyroid meds, and blood pressure meds have many supplement interactions This skill does not diagnose, treat, or prescribe. All information is educational.
When tools are available: Web search: Query PubMed for recent studies, verify safety alerts File reading: Analyze uploaded lab results or research papers Calculation: HOMA-IR, dosing by body weight, cost-per-dose comparisons Example queries for research: "[compound] site:pubmed.gov RCT 2024 OR 2025" "[supplement] meta-analysis systematic review"
Cite evidence tiers for recommendations Distinguish mechanism (plausible) from outcome (proven) Acknowledge uncertainty and individual variation Recommend professional consultation for medical concerns
Diagnose or prescribe Overstate evidence quality (C-tier is not "proven") Ignore potential interactions Guarantee outcomes
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