AI & ML

abzhaw Skill

Fortschrittsverfolgung der Masterarbeit. Wortanzahl pro Kapitel, Fertigstellungsgrad, fehlende Elemente, Deadlines. Haelt den Ueberblick.

abzhaw Skill

Scan all service logs for error spikes, failed auth attempts, and suspicious access patterns

abzhaw Skill

Check all running processes on the system for anomalies, unknown services, and resource abuse

avav25 Bundle

Use this skill when running the recurring (daily) knowledge-base rescan for a repo that already has knowledge/.knowledge-sync.yml — the main-thread dispatcher that reads the config, computes the git delta since last_scanned_sha, maps changed paths to affected doc areas, early-exits cheaply when nothing changed, then fans out one Agent(content-writer) per affected area, applies the propose/direct update policy, advances the baseline only on success, and writes an L4 run log — all with the G1 untrusted-content choke-point, secret-scan, deny-list, and budget controls woven in. For first-time setup use /knowledge-sync-init.

avav25 Skill

Use this skill when manually delegating from a workflow or building a custom orchestrator — a typed delegation helper that constructs a valid G7 spawn payload for a chosen role, validates against role-selection-table.md and the spawn-payload schema, and returns a fully-formed Agent(...) call ready for orchestrator use.

avav25 Bundle

Use this skill when authoring or auditing a multi-agent skill that spawns named subagents — shared protocols for multi-agent team coordination covering the execution model, named subagent spawning via the Agent tool, file conflict prevention, developer/reviewer/lead protocols, role selection table, and G7 spawn payload + return contract schemas. Referenced by multi-agent workflow skills (`/develop`, `/team-bugfix`, `/feature-design`). Not directly user-invoked.

avav25 Skill

Use this skill when capturing patterns, lessons learned, or architectural decisions worth surfacing in future sessions — to perform a curated write to L4 (project) or L5 (user-global, opt-in) learnings memory. Spawns memory-curator agent to dedupe + PII-filter + schema-validate before append.

kortix-ai Skill

Extraction, PO matching, duplicate detection, and overcharge tolerance for processing incoming vendor invoices from {{invoice_label}} against the POs and ledger in {{ap_ledger}}. Load this before extracting a single invoice so every one is checked to the same standard and only genuine exceptions reach a human, with no invoice ever scheduled for payment by the agent.

kortix-ai Skill

Cross-platform operations runbook for the Slack control-pane agent. Scopes each connected platform (database, Stripe, Linear, GitHub via {{target_repo}}), sets the read/write boundary per platform, and defines the human-approval gate for anything irreversible.

abzhaw Skill

After each daily scan, analyze findings, update the baseline, suppress dismissed issues, and improve future heuristics

abzhaw Skill

Prueft Thesis-Abschnitte auf logische Konsistenz, Argumentationsstaerke und akademische Strenge. Simuliert Betreuer-Feedback und Verteidigungsfragen.

abzhaw Skill

Erstellt Diagramme und Visualisierungen fuer die Thesis. System-Architektur, Sequenzdiagramme, Datenfluesse. Ausgabe als TikZ/PGF fuer natives LaTeX.

abzhaw Skill

Kapitelarchitektur und Gliederung der Masterarbeit. Verwaltet die Struktur, schlaegt vor wo Inhalte hingehoeren, validiert den logischen Fluss zwischen Kapiteln.

abzhaw Skill

Scan all project files for exposed secrets, tokens, and credentials — including git history

abzhaw Skill

Scan all npm packages across all services for known CVEs and outdated critical packages

abzhaw Skill

Konvertiert Protokolleinträge und Session-Logs in thesis-fähiges deutsches Narrativ. Transformiert Entwicklungsdokumentation in akademische Prosa.

abzhaw Skill

Audit OpenClaw browser extension security — tab access scope, CDP connections, and skills with sensitive permissions

abzhaw Skill

Monitor active outbound connections from all services and flag unexpected destinations

avav25 Skill

Use this skill when auditing, validating, or fixing an existing plugin skill's frontmatter, body length, progressive-disclosure structure, cross-references, or eval wiring — after editing skills under `plugin/skills/`, before merging a PR that touches them, or when a skill stops triggering as expected — the internal procedure for `/plugin-author audit`. Checks frontmatter against the agentskills.io specification plus ai-skills plugin conventions and optionally applies safe fixes. No longer slash-invocable — call `/plugin-author audit [<name> | --all] [--deep] [--strict] [--fix]` instead. Read by the `prompt-engineer` agent at task start when DEV-ing or reviewing a plugin skill (the safe-fix table and audit checks are the cached digest of upstream spec rules).

avav25 Bundle

Use this skill when designing prompts, building AI features, or auditing LLM security — a prompt engineering knowledge base covering technique taxonomy, template patterns, the OWASP LLM Top 10 security checklist, eval frameworks, structured output contracts, and cost optimization.

avav25 Skill

Use this skill when scaffolding a new skill (workflow, knowledge, or companion utility) under `plugin/skills/` and you need spec-conformant frontmatter, an eval test-case stub, and memory-write points pre-wired — the internal procedure for `/plugin-author create`. Generates a new skill INSIDE the ai-skills plugin conforming to the agentskills.io specification (https://agentskills.io/specification) and ai-skills plugin conventions. No longer slash-invocable — call `/plugin-author create <name>` instead. Read by the `prompt-engineer` agent at task start when DEV-ing or reviewing a plugin skill.

avav25 Skill

Use this skill when the agent is implementing Java backend services in Spring Boot projects, reviewing JPA entity models, configuring connection pools or caches, designing REST endpoints, writing repository/service/controller layers, or onboarding to Spring conventions — for Spring Boot 3 + JPA backend patterns covering Java 21+ features, layered architecture, Spring Data JPA, Hibernate fetch strategies, Flyway migrations, HikariCP pool tuning, Redis caching with Spring Cache, Spring Security 6 filter chains, REST API design (RFC 7807, pagination, versioning), Testcontainers + JUnit 5 + Mockito testing, Micrometer + Actuator observability, and virtual threads and performance tuning.

kortix-ai Skill

How to CONNECT Slack (one command — `kortix channels connect`, prints a one-click install link) and how to answer in Slack as a teammate. Covers the live plan-block stream (`slack step` with --detail/--output, `slack send` to finalize the answer), file uploads, posting to other channels/threads, reactions, search, message editing/deletion, and the tone the bot should use. Load this when the user asks to connect/set up Slack, when the turn is triggered from Slack (the prompt mentions a Slack workspace/channel/thread, or `$SLACK_CHANNEL_ID` is set in the env), or when the user asks how to do anything in Slack.

kortix-ai Skill

How to CONNECT Microsoft Teams (`kortix channels connect --platform teams`, prints a tenant-admin consent URL) and how to answer in Teams as a teammate. Covers the live Adaptive Card stream (`teams step` with --detail/--output/--source, `teams send` to finalize the answer), sending and downloading files (the consent-card upload flow + `teams download`), reading teams/channels/members through connector calls, asking the user, and the tone the bot should use. Load this when the turn is triggered from Teams (the prompt mentions a Teams tenant/conversation, or `$MS_TEAMS_CONVERSATION_ID` is set in the env), or when the user asks how to do anything in Teams.

kortix-ai Skill

Daily vendor-onboarding intake for {{request_label}}. Validates the W-9, banking form, and signed contract for every new vendor request against a fixed checklist, records every vendor's status in {{vendor_register}}, drafts a follow-up for anything missing or invalid, and posts the batch to {{review_channel}}. Load this before checking a single vendor so every one is held to the same standard and the agent never approves a vendor or touches payment or banking setup.

kortix-ai Skill

How to read, write, and curate project memory in `.kortix/memory/` — the project brain. Load this skill whenever you (or the harness-reflector agent) need to add, update, or reorganize what this project knows about itself. Defines the rubric for what belongs in memory, the file structure, and the change-request flow for landing memory edits on `main`.

kortix-ai Skill

How to build and post the weekly ENG/PRODUCT shipping brief to Slack — a compact summary of what shipped, a ranked merged-PR count per person with week-on-week delta and shipping streaks, and an async standup thread prompt. Load this when you are the `leaderboard` agent (the `weekly-leaderboard` cron), or when someone asks for a weekly contributor/shipping summary.

dirnbauer Bundle

Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.

avav25 Skill

Use this skill when the agent is picking a release tool for a stack or running version bump + changelog generation inside the `/release` workflow — for the release tooling reference covering release-please, semantic-release, Changesets, GoReleaser, cargo-release, JReleaser, plus monorepo per-package versioning via Changesets, Lerna, and Nx, including detection markers, per-tool version-bump + changelog commands, and per-stack release conventions for Node, Go, Rust, and Java.

kortix-ai Skill

How to reach a CONNECTED MACHINE (a user's laptop/desktop, or any computer paired over the Agent Computer Tunnel) from a Kortix session — read/write files, run shell commands, and drive the desktop (click/type/screenshot) on that machine. It works through the `computer` connector and the same list/discover/show/call path as every other connector, so there is no separate tunnel client and no token. Load this when the task is about acting ON a specific physical/remote computer the user has connected ("on my laptop…", "read ~/Downloads on my machine", "run this on my desktop", "click the button on my screen"), or when the user asks how the agent reaches their computer. For files INSIDE this sandbox, just use normal shell/fs — not this.

kortix-ai Bundle

Use Kortix connectors to reach external systems from a session. Use the `kortix connectors` CLI for agent work, `@kortix/sdk` for durable TypeScript workflows, and `kortix connectors mcp` when a stdio MCP server is required. Load this skill to inspect, add, connect, or call external tools without exposing third-party credentials to the sandbox.

ncreighton Bundle

Use this skill to generate a concise FAQ answer for a given question, optionally grounded in provided context text. Uses an LLM.

ncreighton Bundle

Use this skill to assess the tone of a text (e.g. professional, casual, aggressive, warm) and flag any tone that clashes with a stated target tone. Uses an LLM. For brand-voice QA.

dirnbauer Bundle

Build a throwaway prototype to flesh out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".

ncreighton Bundle

Use this skill to generate N compelling call-to-action lines for a given product or offer description. Uses an LLM. Returns a list of CTA options.

kortix-ai Skill

Guide a new Kortix user through their first session: set expectations about what Kortix is, turn a vague ask into a strong first prompt, deliver one real result, then surface deeper capabilities (connectors, memory, triggers, subagents, marketplace) and plant a retention hook. Use when the user is new, asks 'what can you do / how does this work / where do I start', sends a vague or exploratory first message, or has no prior history in this project. Do NOT use when they arrive with a specific, well-formed task — just do it.