Results for “ma”

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.

Builds a feature specification from scratch with plan-a-feature and publishes it to a user-specified Confluence location, posting the spec as a parent page and each companion artifact (decision log, team findings, technical notes) as a child page beneath it. Use when the user wants a new feature planned, designed, scoped, or specified AND posted to a Confluence space or page. Requires a configured Atlassian MCP server. Does not plan to local files only — use plan-a-feature. Does not publish an arbitrary existing markdown file — use markdown-to-confluence. Does not refine or stress-test an existing plan — use iterative-plan-review. Does not document already-built features to Confluence — use project-documentation-to-confluence.

Creates or updates project documentation for a feature, system, or component and publishes it to a user-specified Confluence location. Use when the user wants feature or system documentation written to Confluence, posted to a Confluence space or page, or synced to a Confluence location. Requires a configured Atlassian MCP server. Does not document to local files only — use project-documentation for that. Does not publish an arbitrary existing markdown file — use markdown-to-confluence for that. Does not plan or specify a new feature to Confluence — use plan-a-feature-to-confluence for that. Does not create architectural decision records — use architectural-decision-record. Does not create coding standards — use coding-standard. Does not produce runbooks — use runbook.

Expert DORA (Regulation (EU) 2022/2554 — Digital Operational Resilience Act) compliance advisor for EU financial entities. Use this skill whenever a user asks about DORA compliance, ICT risk management frameworks, ICT incident classification or reporting, threat-led penetration testing (TLPT), ICT third-party risk management, Register of Information, contractual provisions with ICT providers, ICT concentration risk, oversight of critical ICT third-party service providers (CTPPs), or any DORA RTS/ITS obligation. Also trigger for: "DORA gap analysis", "DORA readiness", "Art. 6 ICT risk framework", "Art. 17 incident reporting", "Art. 26 TLPT", "Art. 28 third-party policy", "Art. 30 contractual provisions", "Register of Information CIR 2024/2956", "critical TPSP designation", "DORA vs NIS2", "DORA simplified framework", or EBA/ESMA/EIOPA digital resilience guidance.

Expert DORA (Regulation (EU) 2022/2554 — Digital Operational Resilience Act) compliance advisor for EU financial entities. Use this skill whenever a user asks about DORA compliance, ICT risk management frameworks, ICT incident classification or reporting, threat-led penetration testing (TLPT), ICT third-party risk management, Register of Information, contractual provisions with ICT providers, ICT concentration risk, oversight of critical ICT third-party service providers (CTPPs), or any DORA RTS/ITS obligation. Also trigger for: "DORA gap analysis", "DORA readiness", "Art. 6 ICT risk framework", "Art. 17 incident reporting", "Art. 26 TLPT", "Art. 28 third-party policy", "Art. 30 contractual provisions", "Register of Information CIR 2024/2956", "critical TPSP designation", "DORA vs NIS2", "DORA simplified framework", or EBA/ESMA/EIOPA digital resilience guidance.

Routes compliance requests to the appropriate regulatory and quality-management skill among 15 bundled options, covering ISO 13485, EU MDR, FDA submissions, ISO 14971, CAPA, document control, ISO 27001, ISO 42001, EU AI Act, GDPR, SOC 2, and auditing.

Initialize an Adobe App Builder project end-to-end without Developer Console UI clicks. Creates the Console project and workspace, subscribes APIs, maps user intent to the right template, runs non-interactive `aio app init`, and guides post-init customization.

Conduct cybersecurity assessments for oil and gas facilities, covering upstream, midstream, and downstream operations, including SCADA, DCS, and safety systems, with compliance mapping to API 1164, TSA Pipeline Security Directives, IEC 62443, and NIST CSF.

Write WeChat public account long-form articles in the distinctive style of Khazix, a known AI content creator. Handles various input formats (PDF, links, notes) and guides the user through a structured writing process from material understanding to final polish.

Generates a single-file HTML funnel infographic from 3-6 ordered stages with absolute values, showing conversion rates and drop-off at each step. Output is a static 9:16 vertical image with inline CSS, no JavaScript, no external dependencies.

Operate a self-managed Redpanda broker process and node from the CLI using the `rpk redpanda` command family and `rpk iotune`: node lifecycle (start/stop), production vs. development mode, kernel autotuning, node configuration (redpanda.yaml), and per-node Admin API operations including broker.

Use when planning an ACM PODC campaign end to end — running the single annual cycle backward from the February deadline through abstract registration, lightweight double-blind review, the late-April notification, the May camera-ready, and the arXiv full version — and coordinating the regular-paper-vs-Brief-Announcement decision along the way.

Use when auditing a UAI submission for OpenReview readiness, covering the February paper deadline, the 8-page main part with unlimited appendices in one PDF, the 15 MB file cap, the optional 50 MB supplementary ZIP, double-blind rules, the reviewer-volunteer agreement, dual-submission checks, and desk-reject triage before upload.

Procure e implante serviços do marketplace de templates do Railway. Use quando o usuário quiser adicionar um serviço de um template, encontrar templates para um caso de uso específico, ou implantar ferramentas como Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. Para bancos de dados (Postgres, Redis, MySQL, MongoDB), prefira a skill railway-database.

Turn a rough task into a precise, ready-to-paste prompt for any AI platform (Claude, GPT, Gemini, and others). Trigger on "write me a prompt for", "I need an AI to", "help me prompt engineer", "build a system prompt", "make this prompt better", "optimize my prompt", or any prompt-building request.

Practical codebase onboarding for Nick's workflow. Use when opening a stale project, picking up a new repo, rebuilding context after time away, or generating fast markdown docs that explain how to start working on a codebase right now. Focus on setup, key files, flows, commands, risks, and what to touch first.

Fill the fb.ai CRM with sendable leads — search (0.25/query), import, and enrich (0.075/lead) so emails are unmasked, then build the lists and segments a campaign targets. Unenriched leads are silently dropped by a send, so this skill's real job is getting emails unmasked. Run on demand.

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.

This skill should be used when interacting with Apple Calendar on macOS. Use it for listing calendars, viewing events, creating/updating/deleting calendar events, and checking availability/free-busy times. Triggers on requests like "check my calendar", "schedule a meeting", "what's on my schedule", "am I free tomorrow", or any calendar-related operations.

Extract coverage-checked, independently testable MoonSpec user stories from a technical or declarative design and write breakdown output under artifacts/story-breakdowns (gitignored). Use when the user asks to run or reproduce `/moonspec.breakdown`, split a broad design into one-story candidates, preserve source coverage, or build a coverage matrix before `/moonspec.specify`.

Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, technology selection, or data modeling decisions.

Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.

Turn a plain-text README into a visually rich showcase with a theme-aware hero image, a feature tour grid, an optional animated guided-tour GIF, and updated tech badges. Use when asked to "enhance README", "make README prettier", "add screenshots to README", "showcase the app in README", "design the README", "add hero.

Close the post-launch improvement loop for any shipped app. Use when asked to "improve the app after launch", "fix the top issues", "post-launch polish", "what should I fix next", "production issues", "iterate on feedback", "post-release improvements", "what is broken in prod", "ship a polish pass", or "make it better.

Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.

Run evidence-first research, web/source search, Exa search, iterative retrieval, and research-before-coding workflows. Use when prompts ask for current facts, source-backed recommendations, market or company research, code/library discovery, query refinement, cited synthesis, deep research, or the old deep-research/research-ops/exa-search/iterative-retrieval/search-first skills.

Query JASPAR for transcription factor binding site (TFBS) profiles (PWMs/PFMs), searching by TF name, species, or class, scanning DNA sequences for binding sites, and comparing matrices. Use when doing motif analysis, regulatory genomics, transcription factor binding prediction, or interpreting regulatory/non-coding GWAS variants. Part of the AlterLab Academic Skills suite.

Installs and configures the case.dev CLI for legal AI workflows including document vaults, OCR, transcription, and search. Use when the user mentions "case.dev", "casedev", needs to authenticate with case.dev, run diagnostics, set focus targets, list API routes, track jobs, or make raw API calls. Gateway skill for all case.dev skills.

Manage Zendesk support tickets via the `zd` CLI. Use when the user asks about Zendesk tickets, support tickets, customer issues, helpdesk operations, or ticket triage. Covers listing, searching, creating, updating, and deleting tickets, plus authentication setup and Zendesk search queries. Triggers on tasks involving "zendesk", "zd", "support ticket", "ticket queue", "helpdesk", or "customer support".

Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later.

Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.

Pick the right business-model canvas (Lean Canvas, Business Model Canvas, or Value Proposition Canvas) for the stage and fill it with specifics — one segment, one primary canvas, top-3 assumptions, no fluff in the moat or channel boxes. Load when the user asks to fill a business model canvas, lean canvas, value proposition canvas, model this business, map the business model, says "fill the BMC", "make a Lean Canvas", "Value Proposition Canvas for this", "model this idea", "what's the business model", "design the business model". Sub-skill of `venture-exploration`. Hard-bans "everyone" segments, generic channels ("SEO/social/content/ads"), and "unfair advantage = AI/data/network effects" with no concrete asset. Does NOT score viability — for that use `idea-evaluation`.

Use this skill when conditioning, loading, preparing, or labeling signal data for analysis or ML training. Covers: cleaning a single signal (fill gaps, remove drift, deoutlier, denoise, resample/align a time base) BEFORE analysis; building a `signalDatastore` pipeline; creating a `labeledSignalSet` for Signal Labeler; deriving labels (filename, folder, in-file, ROI, time-frequency ROI); stratified train/val/test splits; framing long signals; parallel processing; and shaping datastore output for `trainnet`. Triggers include "clean up this signal", "remove drift / detrend", "fill gaps", "remove spikes / outliers", "denoise", "resample to a uniform rate", "align channels", "labels from filenames", "stratified split", "prepare for Signal Labeler", and function names like `fillgaps`, `fillmissing`, `detrend`, `filloutliers`, `smoothdata`, `resample`, `synchronize`, `signalDatastore`, `labeledSignalSet`, `filenames2labels`, `folders2labels`, `splitlabels`, `framesig`, `framelbl`, `createDatastores`.

Legal-specific Argument Ranking Engine. Hodnotí právní argumenty 17-sloupcovým scoringem (síla, bezpečnost, dopad, riziko + 10 legal-specific kritérií: Compliance s novelou 2026, Evidence backing, Time-sensitivity, per-document mapping, R-static/R-reversal split, Tom-weight bonus, C-XX/M-XX/N-XX/D-XX integrace). Output: priorizovaný seznam argumentů s kategoriemi CORE/SUPPORT/CONTEXT/EXCLUDED/SUMMARY a per-document bundles (PR/§909/40_06/195). Použití: pre-prioritizace argumentů před F11.x review, Phase 2 Verify input, DÁVKA 3, výživné L04, AT podání. VŽDY použij tento skill, když Tom (nebo legal/strat) zmíní: /lare, lare, argument ranking, ARE matrix, score arguments, prioritize arguments, argument bundle, CORE/SUPPORT/CONTEXT/EXCLUDED, ARE_F11, LARE_F11, legal argument evaluation, argument scoring, compliance scoring, Tom-weight.

Searches and extracts data from Burp Suite project files (.burp) using the burpsuite-project-file-parser extension, enabling regex searches on response headers and bodies, extraction of security audit findings, and analysis of proxy history and site map data.

Detects lateral movement techniques including Pass-the-Hash, PsExec, WMI execution, RDP pivoting, and SMB-based spreading using SIEM correlation of Windows event logs, network flow data, and endpoint telemetry mapped to MITRE ATT&CK Lateral Movement (TA0008) techniques.