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Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang.

Wie diese Rangfolge berechnet wird

The descriptive index uses stored creation age, acquisition velocity, and measurable acceleration.

Werkzeug-Rangliste

Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    MCP
    Aktiv

    Hosted markdown project wikis your team's AI assistants read, search, and update over MCP.

    Lizenz: NOASSERTION

      mcpgemessenes WachstumMeasured age: 5 days0 GitHub-Sterne per day over 5 days

      Daily change is identical across the last two measured intervals.

      Descriptive emergence index : 33.1/100Quelle öffnen ↗

      Remote-Server, in der MCP-Konfiguration anzugeben https://getagentwiki.com/mcp

      0GitHub-Sternestabil
    • 2

      MCP
      Aktiv

      Build, validate, and describe TTEOP telemetry envelopes for AI operator token efficiency.

      JavaScriptLizenz: NOASSERTION

        mcpgemessenes WachstumMeasured age: 5 days0 GitHub-Sterne per day over 5 days

        Daily change is identical across the last two measured intervals.

        Descriptive emergence index : 33.1/100Quelle öffnen ↗

        Installieren claude mcp add tteop-mcp -- npx tteop-mcp

        0GitHub-Sternestabil
      • 3

        MCP
        Aktiv

        Google Ads: 31 read tools with full Keyword Planner, 7 write tools that preview first.

        TypeScriptLizenz: Apache-2.0

          mcpgemessenes WachstumMeasured age: 6 days0 GitHub-Sterne per day over 5 days

          Daily change is identical across the last two measured intervals.

          Descriptive emergence index : 32.7/100Quelle öffnen ↗

          Installieren claude mcp add google-ads -- npx @getmcpads/google-ads-mcp-server

          0GitHub-Sternestabil
        • 4

          MCP
          Aktiv

          Free, keyless. CRE loan maturities in 52 states. Parcels, ownership, sales: Massachusetts only.

          Lizenz: NOASSERTION

            mcpgeschätztes MomentumMeasured age: 3 days0 GitHub-Sterne per day over 3 days

            Daily change is identical across the last two measured intervals.

            Descriptive emergence index : 33.8/100Quelle öffnen ↗

            Remote-Server, in der MCP-Konfiguration anzugeben https://exchange-production-9123.up.railway.app/mcp

            0GitHub-Sterne—

          Lern- und Referenzressourcen

          Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

          1. 1

            simplified-technical-persian

            Skill
            AktivQuelle öffnen ↗

            Persian (Farsi) technical writing rules for AI agents - controlled language adapted from ASD-STE100. Claude Skill + Cursor, Copilot, Windsurf, Codex. فارسی فنی ساده

            Lizenz: MIT
            • agents-md-checker
            • ai-agents
            • asd-ste100
            • claude-skills
            • controlled-language
            github

            Installieren git clone https://github.com/onlymaj/simplified-technical-persian ~/.claude/skills/simplified-technical-persian

            Ressourcegemessenes Wachstum
            1GitHub-Sterne+1
          2. 2

            awesome-agentic-ai

            MCP
            AktivQuelle öffnen ↗

            Curated Agentic AI resources: AI agent frameworks, tutorials, courses, projects, MCP tools, research papers, evaluation, security, and production guides.

            Lizenz: CC0-1.0
            • a2a
            • agent-framework
            • agentic-ai
            • ai-agents
            • ai-engineering
            githubRessourcegemessenes Wachstum
            2GitHub-Sternestabil
          3. 3

            awesome-data-engineering-skills

            Skill
            AktivQuelle öffnen ↗

            36 data-engineering skills for AI coding agents — dbt, Airflow, Dagster, Prefect, Spark, Snowflake, BigQuery, Databricks, Kafka, Iceberg. Portable SKILL.md Agent Skills (the format Anthropic launched as Claude Skills), with idempotency,…

            Python
            • agent-skills
            • ai-agents
            • airflow
            • awesome-list
            • bigquery
            github

            Installieren git clone https://github.com/Unknown-333/awesome-data-engineering-skills ~/.claude/skills/awesome-data-engineering-skills

            Ressourcegemessenes Wachstum
            16GitHub-Sterne+1 (+6.7 %)
          4. 4

            RoT-DtD-Commander

            MCP
            AktivQuelle öffnen ↗

            The creator kit: 131 Claude Code commands, 22 skills and 5 agents that carry their own DTD grammar, laws and trust boundary. Creators for prompts, skills, hooks, commands, subagents, plans, MCP servers, workflows, tasks and filetypes. The…

            JavaScriptLizenz: AGPL-3.0
            • ai-slop
            • claude-code
            • claude-code-plugin
            • claude-code-skills
            • creators
            githubRessourcegemessenes Wachstum
            3GitHub-Sternestabil
          5. 5

            claude-skills

            Skill
            AktivQuelle öffnen ↗

            Claude Code skills I've built and use. Currently teach-me: explains any technical topic from first principles, as chat or a printable PDF.

            PythonLizenz: MIT
            • anthropic
            • claude
            • claude-code
            • claude-code-skills
            • claude-skills
            github

            Installieren git clone https://github.com/sahanaramesh09/claude-skills ~/.claude/skills/claude-skills

            Ressourcegeschätztes Momentum
            1GitHub-Sterne—