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Performs structured reconstruction of how a system, decision, or codebase arrived at its current state: timelines, key decision points, and contextual analysis
History is a procedural investigative skill that helps an agent reconstruct timelines and explain why a system, decision, or codebase looks the way it does. It formalises steps for gathering evidence, sequencing events, identifying key decision points, and producing a clear narrative with confidence levels and unresolved uncertainties.
Use during post-mortems, root-cause analyses, onboarding into legacy projects, or before making invasive refactors where historical context and prior trade-offs matter. Also useful when translating organizational or product decisions into engineering constraints.
has_scripts=false).Designed for Hermes-style or general-purpose assistants that can access git history, changelogs, and repo metadata. Works best when the agent has tools for git blame, commit inspection, and reading project docs.
History is a purely instructional skill for temporal investigation — reconstructing how a system or codebase arrived at its current state. No scripts are bundled; it's effectively a structured prompt template with D&D-themed framing. The procedure steps and deliverables are clear but lack concrete tooling or output schemas. Guardrails are present but the metaphor risks misalignment if an agent treats lore as operational guidance.
Clean from a security perspective — no scripts, no network calls, no credentials. Limited practical value as it adds little beyond what a well-prompted agent would already do. The D&D theming is a niche framing that may not resonate with most users.
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Generate a concise, reproducible submission-style CTF writeup with a one-path solution script, metadata, and a short checklist for fast verification.
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Checks Markdown files for structural and stylistic formatting issues (headings, lists, code blocks, links) and applies deterministic fixes.
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Provides expert guidance for Azure External Attack Surface Management (EASM): quotas, configuration, integrations, and exporting inventory to analytics platform
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Extract a DDD-style ubiquitous language glossary from conversation: identify domain terms, flag ambiguities, propose canonical terms, and write the result to UB
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Generate a structured, bilingual daily briefing of the latest AI industry news, model updates, papers, and open-source tools with in-depth technical analysis an