Content, animation and effects best practices
日本語の概要は準備中です。原文の説明を表示しています。
上記に当てはまらないスキル(1.6万 件)
概要と使いどころ
Content, animation and effects best practices
日本語の概要は準備中です。原文の説明を表示しています。
Interacting with Mediabunny
日本語の概要は準備中です。原文の説明を表示しています。
Transcribing, displaying and animating captions
日本語の概要は準備中です。原文の説明を表示しています。
Upgrade Remotion, and related packages
日本語の概要は準備中です。原文の説明を表示しています。
Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.
日本語の概要は準備中です。原文の説明を表示しています。
Compare options with weighted scoring, pros and cons, pre-mortems, opportunity costs, and ICE prioritization. Use when a user wants to reason through a choice, expose assumptions, or rank alternatives.
日本語の概要は準備中です。原文の説明を表示しています。
Create standalone SVG/HTML or editable Excalidraw diagrams for concepts, architecture, processes, flows, and whiteboards.
日本語の概要は準備中です。原文の説明を表示しています。
Generate low-stakes retrieval-practice questions with grounded answer notes and implementation guidance. Use for quiz starters, revision activities, delayed recall, misconception checks, or adapting recall difficulty.
日本語の概要は準備中です。原文の説明を表示しています。
When a ticket must go to a human before any reply is sent, and how the first reply should read. Use when drafting a customer reply or setting needs_human_review.
日本語の概要は準備中です。原文の説明を表示しています。
Open a pull request on the Kiln repo for a human to complete. The title gets a `WIP: ` prefix and a semantic-commit type. The description keeps the human-only header of the PR template as empty placeholders, and the agent writes only the Agentic PR Summary below it (one-line TLDR, summary, implementation bullets, warnings, optional Mermaid diagram, collapsible examples and screenshots). The agent never signs the CLA. Also covers the short watch window for review-bot comments and CI. Use when the user asks to open, create, or raise a PR, to write or rewrite a PR description, or to update a PR after a push.
日本語の概要は準備中です。原文の説明を表示しています。
How to pick the owning team and the priority for an inbound support ticket, including what to do when a ticket spans two teams. Use when triaging a ticket.
日本語の概要は準備中です。原文の説明を表示しています。
Finding validation before writing any report — 7-Question Gate (all 7 questions), 4 pre-submission gates, always-rejected list, conditionally valid with chain table, CVSS 3.1 quick reference, severity decision guide, report title formula, 60-second pre-submit checklist. Use BEFORE writing any report. One wrong answer = kill the finding and move on. Saves N/A ratio.
日本語の概要は準備中です。原文の説明を表示しています。
Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi — report templates, human tone guidelines, impact-first writing, CVSS 3.1 scoring, title formula, impact statement formula, severity decision guide, downgrade counters, pre-submit checklist. Validation gates and the submittability/always-rejected decision are owned by triage-validation; this skill owns the written report itself (templates, tone, formulas). Use after validating a finding and before submitting. Never use "could potentially" — prove it or don't report.
日本語の概要は準備中です。原文の説明を表示しています。
Hunt ASP.NET-specific surface — ViewState deserialization (signed-only vs encrypted), machineKey recovery, dual-parser MAC-bypass anti-pattern, request-validator bypass, trace.axd/elmah.axd disclosure, load-balanced ViewState cross-node failures, SafeControl enumeration via reflection, customErrors mode=Off stack-trace leaks, classic Webforms .aspx/.asmx/.svc surface. Built for ASP.NET Webforms + WCF + SharePoint farms.
日本語の概要は準備中です。原文の説明を表示しています。
Hunt mishandling of exceptional conditions — feed an endpoint malformed/unexpected input (wrong type, broken JSON, oversized field, null byte) and make it fail OPEN or leak internals: a verbose stack-trace / framework error page that discloses ORM internals, server file paths, library versions, or a language traceback. Use on any input-accepting endpoint (JSON APIs, forms, query params). Medium-High when the leak exposes internal structure that arms a deeper attack.
日本語の概要は準備中です。原文の説明を表示しています。
Skill-set loader for /hunt orchestrator. Fingerprints the target, picks the right platform attack skills, and loads the Red Team or WAPT skill set. Use when /hunt has just received a mode answer (redteam or wapt + blackbox|greybox) and needs to load the appropriate skills and print the taxonomy. Not for direct user invocation.
日本語の概要は準備中です。原文の説明を表示しています。
Update peon-ping configuration — volume, pack rotation, categories, active pack, and other settings. Use when user wants to change peon-ping settings like volume, enable round-robin, add packs to rotation, toggle sound categories, or adjust any config.
日本語の概要は準備中です。原文の説明を表示しています。
Set which voice pack (character voice) plays for the current chat session. Automatically enables session_override rotation mode if not already set. Use when user wants a specific character voice like GLaDOS, Peon, or Kerrigan for this conversation.
日本語の概要は準備中です。原文の説明を表示しています。
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks to rewrite, humanize, clean up, or remove AI-isms from text while preserving the writer's voice, facts, intent, structure, register, and protected material.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user names a local file and explicitly asks to clean, rewrite, humanize, or remove AI-writing patterns in that file itself, with minimal targeted edits and post-edit verification.
日本語の概要は準備中です。原文の説明を表示しています。
Structure prediction using OpenFold3, an open-weights PyTorch reproduction of AlphaFold3 from the AlQuraishi Lab. Use this skill when predicting protein/nucleic-acid/ligand complex structures with an Apache-2.0-licensed AF3 reimplementation.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare reproducible setup instructions and validate a user-managed named software environment on an Open-Science SSH Compute Host, including direct SSH and Slurm hosts. Use when a remote job needs packages, modules, cache variables, or a repeatable activation that the host does not already provide.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate and use SSH Remote Compute before choosing where to run GPU, high-memory, parallel, batch, model-inference, bioinformatics, or other long-running scientific work; supports short remote commands and asynchronous jobs with automatic harvest and analysis.
日本語の概要は準備中です。原文の説明を表示しています。