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Found 6,252 Skills
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for parser differentials, HTTP normalization gaps, ambiguous headers, path decoding drift, transfer-framing mismatches, and request smuggling routes. Use when the user asks to trace proxy and backend parse differences, conflicting path normalization, Host or forwarded-header ambiguity, CL/TE issues, or routing outcomes that differ across hops. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for forced-auth coercion, relay chains, target selection, NTLM or related acceptance paths, and coercion-to-privilege transitions. Use when the user asks to trace a coercion primitive, follow a relay path, analyze forced authentication, determine which service accepts relayed auth, or connect a coercion step to resulting privilege, enrollment, or code execution. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.
Crée, récupère, met à jour et gère les issues GitLab avec collecte complète du contexte. À utiliser quand l'utilisateur veut créer une nouvelle issue, voir les détails d'une issue, mettre à jour des issues existantes, lister les issues du projet ou gérer les workflows d'issues dans GitLab.
Flodesk integration. Manage Users, Subscribers, Emails, Workflows. Use when the user wants to interact with Flodesk data.
Venly integration. Manage data, records, and automate workflows. Use when the user wants to interact with Venly data.
Holistics integration. Manage data, records, and automate workflows. Use when the user wants to interact with Holistics data.
Reads documented bugs from bugs.md, analyzes root causes, implements fixes with regression tests, and validates the full test suite. Prioritizes fixes by severity (high to low). Updates bugs.md with correction status and generates a final bugfix report. Use when the user asks to fix bugs, resolve issues, or run the bugfix workflow for a feature. Do not use for new feature implementation, code review, or QA testing.
Expert guide for Electron production builds, code signing, notarization, auto-updates, and release workflows. Use when building, packaging, or releasing Electron applications, configuring electron-builder, setting up CI/CD pipelines for desktop app distribution, or implementing auto-update mechanisms.
Verifalia integration. Manage data, records, and automate workflows. Use when the user wants to interact with Verifalia data.
Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.