Modular cycling-training skill: periodization logic, workout design, and
research-backed protocols that companion an Intervals.icu MCP server (the
server owns all data + computed metrics; the skill owns knowledge + reasoning).
Structure:
- SKILL.md router + README (companion-to-MCP architecture, install steps)
- references/: durability, mtb-xco-demands, strength-for-cyclists,
vo2max-intervals, periodization, data-confounds, citations
- assets/: base + build plan templates, durability field-test protocol
Every quantitative claim carries an inline citation; citations.md is the
single source of truth with PMID/DOI, each verified against PubMed on
2026-07-20. Notable honesty flags baked in:
- VO2 rep-length: running (Fleckenstein 2025) vs cycling (Ronnestad) conflict
documented rather than asserted; cycling evidence favors short intervals.
- 'Yu et al. 2025' (frequency > distribution) could not be found; not cited.
- Under-researched doses (durability, taper TSB, CTL ramp) flagged 'track response'.
- HR-confound doc forbids naive decoupling<5% / RHR+5 rules.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TqrhBhC3GEcKyaw8RTk8G6
Periodization logic, workout design, and research-backed protocols for endurance and off-road cycling (road/TT + MTB/XCO). Companions an Intervals.icu MCP server that supplies all data and computed metrics. Use when planning training blocks, designing VO2max/threshold/durability workouts, integrating heavy strength (esp. masters), setting CTL ramp or A-race taper targets, interpreting CTL/ATL/TSB or wellness trends, or deciding whether to trust HR vs power. Routes to focused, individually loadable reference docs; every quantitative claim is cited.
Cycling Training — knowledge & reasoning skill
This skill is the reasoning half of a two-part system. The Intervals.icu MCP server owns all
data and computed metrics; this skill owns the knowledge and interpretation. Get the numbers
from MCP, then use these docs to decide what they mean and what to do next.
Data / knowledge split (read this first)
Ask the MCP server for…
Ask this skill for…
Activities, streams, best efforts, power curves
What workout to prescribe and why
CTL / ATL / TSB, training-load ramp, TSS
How fast to ramp CTL; what TSB to target for an A-race
Zones, sport settings, thresholds (FTP, MAP)
How to structure work:rest and rep length within a zone
Wellness: HRV, RHR, sleep, readiness
Whether a wellness signal is trustworthy or confounded
Never recompute what MCP already returns (zones, TSS, load metrics). This skill contains no
calculators by design — only periodization logic, workout design, protocols, and interpretation.
Season structure — base/build/peak, mesocycles, CTL ramp, A-race taper & TSB targets, polarized vs pyramidal
references/periodization.md
Trusting the data — when HR is unreliable, decoupling, RHR/HRV, heat/alcohol/sleep/travel confounds
references/data-confounds.md
A specific citation / PMID / DOI
references/citations.md
Plan & protocol templates (assets)
Template
Use when
assets/plan-template-base.md
Building a base mesocycle, backward-mapped from an A-race
assets/plan-template-build.md
Building a build block that integrates VO2, durability, and strength
assets/field-test-durability.md
Running the ~1,500 kJ → 1-min hill durability field test
Operating principles
Cite as you reason. Every quantitative recommendation should name its source (author/year;
full identifier in references/citations.md). This is so the athlete can verify, not just trust.
Separate mechanism from dose. Where a doc marks a protocol
⚠️ under-researched — track individual response, present it as a hypothesis to test on this
athlete, not a fixed prescription.
Power governs; HR is conditional. Prescribe from power. Use HR only where it is reliable
(durability decoupling on steady rides, recovery trends) and always screen for the confounds in
references/data-confounds.md. Never apply naive single-number rules
(e.g. "decoupling <5% = fresh", "RHR +5 = overtrained") without those caveats.
Distribution is a principle, not a recipe. Training age, volume, life stress, and phase
decide the intensity distribution — see references/periodization.md.
Don't over-transfer. Keep discipline-specific numbers labelled; small-n elite XCO data does
not automatically apply to masters marathon riders.