19 lines
25 KiB
JSON
19 lines
25 KiB
JSON
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{"parentUuid":"fe72d435-6943-46b5-aad0-5a14a1db7c34","isSidechain":false,"attachment":{"type":"agent_listing_delta","addedTypes":["claude","claude-code-guide","Explore","general-purpose","Plan","statusline-setup"],"addedLines":["- claude: Catch-all for any task that doesn't fit a more specific agent. FleetView's default when no agent name is typed. (Tools: *)","- claude-code-guide: Use this agent when the user asks questions (\"Can Claude...\", \"Does Claude...\", \"How do I...\") about: (1) Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts; (2) Claude Agent SDK - building custom agents; (3) Claude API (formerly Anthropic API) - Messages API for directly passing messages to Claude, Tool Runner (`client.beta.messages.tool_runner`) for running an agentic loop over your own tools, manual tool-use loops, Managed Agents for server-hosted agents with a managed sandbox, prompt caching, and general Anthropic SDK usage; (4) Claude Tag (Claude in Slack) - what it is, setting it up for a Slack workspace, `/install-slack-app`. **IMPORTANT:** Before spawning a new agent, check if there is already a running or recently completed claude-code-guide agent that you can continue via SendMessage. (Tools: Bash, Read, WebFetch, WebSearch)","- Explore: Read-only search agent for broad fan-out searches — when answering means sweeping many files, directories, or naming conventions and you only need the conclusion, not the file dumps. It reads excerpts rather than whole files, so it locates code; it doesn't review or audit it. Specify search breadth: \"medium\" for moderate exploration, \"very thorough\" for multiple locations and naming conventions. (Tools: All tools except Agent, Artifact, ExitPlanMode, Edit, Write, NotebookEdit)","- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)","- Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, Artifact, ExitPlanMode, Edit, Write, NotebookEdit)","- statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)"],"removedTypes":[],"isInitial":true,"showConcurrencyNote":true},"type":"attachment","uuid":"1cc8aed8-fb1c-4d7f-9226-ebf0645afbb6","timestamp":"2026-07-11T10:44:40.045Z","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/limbach","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348","version":"2.1.207","gitBranch":"main"}
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{"parentUuid":"1cc8aed8-fb1c-4d7f-9226-ebf0645afbb6","isSidechain":false,"attachment":{"type":"skill_listing","content":"- panel: Beim Entwerfen längerer Texte (ADR, E-Mail, Dokument, Spezifikation, Commit-Message, Textbaustein) das MCP-Tool write_panel nutzen, statt den Text als Fließtext in den Chat zu schreiben — dann ist er im ai-control-Panel mit Maus selektier- und kopierbar. Auch auf ausdrückliche Bitte nutzen (\"ins Panel\", \"ins Panel schreiben\").\n- git-sync: Commit + Push aller persistent konfigurierten Projekt-Repos\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- dataviz: Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: \"chart\", \"graph\", \"plot\", \"data viz\", \"visualization\", \"dashboard\", \"analytics\", \"visualize data\", \"categorical colors\", \"sequential / diverging palette\", \"stat tile\", \"sparkline\", \"heatmap\", \"legend\", \"axis\", \"tooltip\", \"chart colors\", \"color by series\".\n- artifact-design: Design guidance and fundamentals for Artifacts.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck. Run before committing nontrivial changes; bootstraps this repo's project verify skill if none exists yet. Don't invoke it on a diff that only touches tests, docs, or other code with no runtime surface to drive (a change to product source always has one) — there's nothing to observe.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init: Initialize a new CLAUDE.md file with codebase documentation\n- review: Review a GitHub pull request; for your working diff use /code-review\n- security-review: Complete a security review of the pending changes on the current branch","skillCount":18,"isInitial":true,"names":["panel","git-sync","deep-research","dataviz","artifact-design","update-config","keybindings-help","verify","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"f0b9911c-ff54-433e-a92d-2d1f331061b9","timestamp":"2026-07-11T10:44:40.045Z","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/limbach","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348","version":"2.1.207","gitBranch":"main"}
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{"type":"ai-title","aiTitle":"ADR zu Event Sourcing vs. Stateful Persistence","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348"}
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{"parentUuid":"9ff7061f-78ef-4d40-935d-2540dceb9336","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_011Ccv8iM95pj3ZzwdgDdmPu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0169W63UsFRYkJ6pjWU5dJzb","name":"mcp__text-panel__write_panel","input":{"text":"# ADR: Event-Sourcing vs. Stateful Persistence\n\n- Status: Vorschlag\n- Datum: 2026-07-11\n- Kontext: Integrationsserver Limbach\n\n## Kontext\n\nDer Integrationsserver nimmt Ereignisse aus Vorsystemen (LIS, Order-Entry, Geräte, externe Einsender) an, transformiert sie und stellt sie nachgelagerten Systemen bereit. Zu entscheiden ist, wie der fachliche Zustand persistiert wird:\n\n- **Event-Sourcing (ES):** Jede Zustandsänderung wird als unveränderliches Event im Append-only-Log gespeichert. Der aktuelle Zustand ist eine Projektion über die Event-Historie.\n- **Stateful Persistence (SP):** Es wird nur der jeweils aktuelle Zustand gehalten (klassisches CRUD auf relationalen/dokumentbasierten Tabellen). Änderungen überschreiben den vorherigen Wert.\n\n## Entscheidungskriterien\n\n| Kriterium | Event-Sourcing | Stateful Persistence |\n|---|---|---|\n| Nachvollziehbarkeit / Audit | Vollständige Historie inhärent | Nur über separate Audit-Tabellen/Trigger |\n| Reprozessierung (Replay) | Projektionen jederzeit neu ableitbar | Nicht möglich ohne externes Log |\n| Fachliche Komplexität | Höher (Events, Projektionen, Versionierung) | Niedriger, vertrautes Modell |\n| Query auf aktuellen Zustand | Über Read-Model/Projektion | Direkt |\n| Schema-Evolution | Upcasting alter Events nötig | Migration der aktuellen Daten |\n| Speicherbedarf | Wächst monoton (Log) | Konstant je Entität |\n| Debugging / Fehleranalyse | Zustand zu jedem Zeitpunkt rekonstruierbar | Nur aktueller Zustand |\n| Einarbeitung Team | Steiler | Flach |\n\n## Fachlicher Treiber\n\nIm Laborumfeld ist die lückenlose Nachvollziehbarkeit von Befund- und Auftragsänderungen regulatorisch und für die Fehleranalyse zentral (Wer hat wann welchen Status/Wert gesetzt, aus welchem Quell-Event). Diese Anforderung ist mit ES strukturell erfüllt; bei SP muss sie durch zusätzliche Audit-Mechanik nachgebaut werden, die parallel gepflegt und konsistent gehalten werden muss.\n\n## Entscheidung\n\nEvent-Sourcing für die fachlichen Kern-Aggregate des Integrationsservers (Auftrag, Probe, Befund, Zuordnung). Der Event-Store ist die maßgebliche Datenquelle. Aktuelle Zustände werden als Projektionen (Read-Models) in eine abfragbare Form materialisiert.\n\nRandbereiche ohne Historienbedarf (Konfiguration, Stammdaten-Caches, technische Mappings) bleiben bei Stateful Persistence. Kein dogmatisches ES über den gesamten Server.\n\n## Konsequenzen\n\n**Positiv**\n- Lückenlose, fälschungssichere Historie ohne separaten Audit-Layer.\n- Read-Models bei Bedarf neu ableitbar; neue Auswertungen über Replay möglich.\n- Zustand zu jedem Zeitpunkt rekonstruierbar — starke Basis für Fehleranalyse und Support.\n- Entkopplung Schreib-/Lesemodell (CQRS) skaliert Lesezugriffe unabhängig.\n\n**Negativ / Aufwand**\n- Höhere anfängliche Komplexität; Team-Einarbeitung in ES/CQRS nötig.\n- Event-Versionierung und Upcasting müssen von Beginn an mitgedacht werden.\n- Eventual Consistency zwischen Event-Store und Projektionen; Fachlogik und UI müssen das tragen.\n- Log wächst monoton; Snapshotting und Aufbewahrungskonzept erforderlich.\n- Größerer Umsetzungsaufwand (grobe Schätzung Integrationsserver: ~300–530 PT).\n\n## Verworfene Alternative\n\nReine Stateful Persistence mit nachgelagerter Audit-Tabelle: geringerer Initialaufwand, aber Historie und Reprozessierung bleiben Zweitklasse-Bürger — Audit-Logik und fachlicher Zustand können divergieren, Replay für neue Read-Models ist nicht möglich. Für die regulatorischen und Analyse-Anforderungen im Laborumfeld nicht ausreichend.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":28465,"cache_read_input_tokens":0,"output_tokens":2208,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":28465,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":2208,"cache_read_input_tokens":0,"cache_creation_input_tokens":28465,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":28465},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccv8iL46Q7qdAwNyuV4nx","type":"assistant","uuid":"071b1cb7-3352-4296-8602-901a53f6329d","timestamp":"2026-07-11T10:45:15.173Z","session_id":"ae81ab33-be61-4e19-86d3-18bf37efc348","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/limbach","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348","version":"2.1.207","gitBranch":"main"}
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{"parentUuid":"df00eaa4-bc85-4071-8f03-4e2c6ff6525b","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":40194,"messageCount":11,"timestamp":"2026-07-11T10:45:20.258Z","uuid":"231a2e51-662d-4e37-8fb8-47333b3d3f67","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/limbach","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348","version":"2.1.207","gitBranch":"main"}
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{"type":"last-prompt","lastPrompt":"schreibe einen ADR zum Thema Evensourcing vs. Statefull Persistence","leafUuid":"231a2e51-662d-4e37-8fb8-47333b3d3f67","sessionId":"ae81ab33-be61-4e19-86d3-18bf37efc348"}
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