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Examine writing for familiar AI patterns, statistical features, Pangram detection scores, and hidden character signatures. Compare drafts against known human writing to interpret the evidence, with explanations and limitations rather than a definitive authorship claim.
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Analyze a problem by separating fundamental facts from policies and untested assumptions. The skill produces a component breakdown, a constraint table, and a rebuilt solution, helping explain which inherited assumptions may be limiting the available options.
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Review AI agent instructions for unnecessary rules, contradictions, repetition, and vague wording. Get recommendations on what to remove, merge, clarify, or load only when needed, plus an estimate of savings in tokens, the units models process.
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Structure problem solving around clear goals, competing explanations, experiments, and measurable results. Use the cycle to diagnose bugs, validate features, compare prompts, or evaluate an early product, then choose the next step based on evidence.
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Find quotes that fit a text’s themes, with attribution and a short reason for each suggestion. Add sourced quotes, research thinkers, and organize a quote collection by theme and usage history to avoid repetition.
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Strengthen existing tests with fast-check by checking properties across generated inputs. Find bugs that example tests miss and reduce failing inputs to small, reproducible cases. Property testing is available; the other listed workflows remain planned.
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Turn completed research, analysis, reports, or plans from the current session into a self-contained HTML artifact. A renderer controls layout, typography, and color, using structured content and a choice of two visual styles.
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Research topics across multiple sources, cross-check findings, and verify source URLs before producing a report with confidence labels. Choose from quick lookups to iterative investigations that preserve findings, with community sources prioritized for questions about public reactions.
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Review stored LifeOS goals and personal context against available records such as sleep, app usage, work, and expenses. The skill prioritizes stale information and contradictions, proposes corrections for approval, and reviews the gap between current and ideal states.
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Turn an unclear idea into a specification with testable completion criteria. The skill supports discovery interviews, drafts from existing code, completeness checks, and records of decisions and verification in a shared project document.
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Build and run computer-use-demo in Docker, then use Playwright to test its Streamlit interface without opening a visible browser. Save conversation transcripts, API exchanges, and screenshots to inspect behavior after changes.
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Plan encryption, TLS connections, digital signatures, and key management using established cryptographic libraries. Get guidance on choosing algorithms, storing passwords, rotating keys, and avoiding implementation mistakes such as reused nonces or comparisons that reveal information through timing.
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Import FBX 3D models into CARLA on UE 5.8 and register them as props that can be placed in a simulation. Check measured dimensions, adjust scale, verify placement on a running server, and undo imports when needed.
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Run Scenic traffic scenarios on a CARLA server. First test whether a valid scene can be generated, then simulate with limits on runs and steps, record the outcome, and restore the world's asynchronous setting afterward.
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Prepare large text collections for AI models with fast tokenizers, which split text into model inputs. Train custom vocabularies, trace tokens to original text positions, adjust input lengths, and integrate the results with transformers.
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Guides security testing of Android and iOS apps through file inspection and observation while the app runs. Covers network traffic, stored secrets, external app interfaces, authentication, and backend APIs, with tool examples and a testing checklist.
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Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Choose a single instance or queue workers, configure secrets and Python task runners, and follow procedures for updates, backups, and recovery.
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Manage a project's stored materials through inventory, migration, archiving, and ranking based on verified source reads. Changes follow owner approval, preserve material references, and include validation records and rollback procedures.
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Move existing .NET 9 projects to .NET 10 by updating project settings and dependencies, fixing build errors, and reviewing behavior changes. Includes CI and Docker updates, followed by builds, tests, and security checks.
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Assess internet-exposed VMware management services by identifying versions, matching known vulnerabilities, and checking authentication settings and information exposure. Use the findings to document affected services, supporting evidence, and the potential impact on virtual infrastructure.
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Assess iOS apps from IPA acquisition through file inspection and runtime testing. The skill helps uncover embedded credentials, insecure network settings, and app link handling issues using tools such as Frida, objection, and binary analysis utilities.
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Inspect NTLM authentication responses from public IIS, SharePoint, and Exchange services to identify exposed internal domains, server names, and timestamps. Assess the disclosure in context and prepare reproducible evidence without completing authentication.
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Examine a plan or design through focused questions, each with a recommended answer. Work through connected decisions to reach shared understanding, using codebase exploration to resolve questions that the code can answer.
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Create bash scripts for routine Linux administration, including backups, resource monitoring, user management, and log analysis. Templates also cover scheduled tasks, file cleanup, encryption, and network checks, providing starting points for automating recurring maintenance.
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