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julianleopold
GitHub-Creator-Profil

julianleopold

Repository-Ansicht von 5 gesammelten Skills in 1 GitHub-Repositories.

gesammelte Skills
5
Repositories
1
aktualisiert
2026-04-22
Repository-Karte

Wo die Skills liegen

Top-Repositories nach gesammelter Skill-Anzahl, mit ihrem Anteil an diesem Creator-Katalog und ihrer Berufsverteilung.

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Repositories und repräsentative Skills

diagnose
Restaurantköche

Diagnose espresso extraction issues by correlating machine telemetry with taste feedback. Use when user says: "what went wrong", "analyze that shot", "why did it taste [sour/bitter/flat]", "my shots are inconsistent", or asks about pressure spikes, flow issues, or extraction problems. Fetches shot data via analyze_shot MCP tool, interprets patterns, and provides actionable recommendations.

2026-04-22
feedback
Restaurantköche

Gather shot feedback, analyze extraction, recommend adjustments, and record results. Use when user says: "/feedback", "I just pulled a shot", "how was that", "it tasted [sour/bitter/flat/good]", provides a star rating, shares taste observations, or asks "what should I adjust" after a shot. Owns the full shot feedback loop: gathering, analysis, tasting notes, and drink format.

2026-02-25
gaggimate-profiles
Softwareentwickler

Create custom espresso extraction profiles for Gaggimate-equipped machines (Gaggia Classic Pro, Gaggia Classic Evo, Rancilio Silvia). Use when designing pressure profiles, flow profiles, blooming profiles, lever simulation profiles, or helping with espresso extraction settings and troubleshooting. Also use when the user mentions Gaggimate, espresso profiles, pressure profiling, or extraction parameters.

2026-02-23
knowledge-lookup
Restaurantköche

Answer espresso knowledge questions from the authoritative knowledge files. Use when the user asks about: temperature, pressure, ratios, grind settings, freshness, extraction theory, puck prep, channeling, baskets, decaf, blends, milk steaming, drink specs, profiles, shot styles, or any espresso concept. Routes to the correct knowledge file and answers from its content rather than from memory or training data.

2026-02-23
new-coffee
Barkeeper

Research a new coffee bean and propose starting extraction parameters. Use when: (1) user shares a new bag of coffee (photo, name, or description), (2) user says "new beans", "dialing in a new coffee", (3) user asks "where should I start with this coffee". Accepts bag photos (extracts info via vision) or text descriptions. Researches origin, process, roast level via web search, then recommends temperature, grind, ratio, and profile.

2026-02-23
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