Verification methodology — criteria-driven gatekeeping, evidence assessment, and completion verification.
Quellsprache: Englisch
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SkillsMP hat 57 Skills aus magnus919/hermes-profiles gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
magnus919/hermes-profilesEs werden 17 von 57 gesammelten Skills angezeigt.
Verification methodology — criteria-driven gatekeeping, evidence assessment, and completion verification.
Quellsprache: Englisch
Implementation planning methodology — work breakdown, dependency analysis, critical path identification, risk assessment, and rollback planning.
Quellsprache: Englisch
A virtual data architect for teams who don't have one. If your data pipelines are growing faster than your team, nobody agrees on what 'customer' means, your cloud bill is climbing without clear reason, or you're about to choose a data platform and need…
Quellsprache: Englisch
Knowledge curation methodology for the knowledge vault — atomic note principles, cross-linking heuristics, split/merge decisions, graph health diagnostics, and the curation cycle. Grounded in Zettelkasten and Molecular Notes philosophy.
Quellsprache: Englisch
Systematic debugging methodology — root cause analysis, error reproduction, isolation techniques, and verification protocols.
Quellsprache: Englisch
Editorial methodology — voice discipline, article structure patterns, source hygiene, and revision protocols for content creation.
Quellsprache: Englisch
Professional research methodology — journalistic investigation, industry analysis, technical verification, and academic-style systematic research. References codify source evaluation, ACH, synthesis, interview handling, signal detection, and reproduction…
Quellsprache: Englisch
Non-interactive deep research pipeline for specialist subagents. Use when the orchestrator, product-manager, or another profile assigns a research mission that requires systematic investigation with progressive disclosure. The researcher receives a brief,…
Quellsprache: Englisch
Professional review methodology — code review, security audit, architectural review, and kanban swarm verification. References codify Google's code review standards, OWASP audit patterns, and architectural assessment frameworks.
Quellsprache: Englisch
UX design methodology — user research, interaction design, accessibility standards, and usability evaluation.
Quellsprache: Englisch
Platform-agnostic Mermaid.js diagramming — flowcharts, sequence diagrams, C4 (via Structurizr or flowchart workarounds), class/state/ER diagrams, Gantt, and block diagrams. Generates valid Mermaid syntax, renders via mmdc CLI or CDN, and validates before…
Quellsprache: Englisch
Product management frameworks embedded in references/: RICE, MoSCoW, Opportunity Solution Trees, customer interviews, spec template, stakeholder communication, decision log. All output is organized as an artifact pyramid with full SOURCES navigation at every…
Quellsprache: Englisch
Architecture Decision Records — decision capture, rationale documentation, alternatives analysis, and consequence tracking. Maps ADRs to Artifact Pyramid layers (navigation index→L1, active ADRs→L2, superseded ADRs→L3). Use when the technical-architect…
Quellsprache: Englisch
arc42 template — constraints and context documentation covering sections 1-4 (stakeholders, quality goals, constraints, solution strategy) and supplemental sections (architecture, risks, deployment, glossary). Maps arc42 sections to Artifact Pyramid layers…
Quellsprache: Englisch
Output orchestrator for the technical-architect profile — maps C4 structural views, ADR decision records, and arc42 constraints into a unified artifact pyramid. Manages the pyramid structure, cross-referencing rules, and handoff convention. Load after…
Quellsprache: Englisch
C4 Model structural views — System Context, Container, Component, and Code diagrams. Maps C4 zoom levels to Artifact Pyramid layers (Context→L1, Container/Component→L2, Code→L3). Use when the technical-architect profile needs to produce structural…
Quellsprache: Englisch
Progressive disclosure for what AI agents produce. Structure research outputs across three layers of increasing depth — Summary (key findings), Analysis Collection (per-dimension files), and Detailed Dossiers (source excerpts, raw data, transcripts) — so…
Quellsprache: Englisch