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Found 1,463 Skills
Intercept every agent-originated question and unresolved ambiguity that requires user input. ALWAYS use before asking for clarification, confirmation, permission, preference, approval, waiver, a decision, or any answer that work must wait for. Do not use when no user response is required; answer user-originated factual questions directly, ignore rhetorical questions, and settle discoverable or reversible matters yourself.
Use when answering, explaining, comparing, or guiding conversationally, or when generating and choosing among possible directions, before creating artifacts or mutating state.
Builds and improves Browserbase Agent API demos through an Autobrowse-style outer loop: run a fixed task, collect Agent messages and session logs, score the result, revise one system-prompt heuristic, and confirm convergence. Use when creating a Browserbase Agents demo or POC, optimizing an Agent system prompt, diagnosing flaky Agent runs, or applying auto-research/autobrowse to the Browserbase Agents API.
[user/auto] 하나의 observed 또는 measured Agent Skill anomaly를 fresh context에서 재현·격리한 뒤, 검증된 skill objective를 tk-learn으로 라우팅한다. selection, instruction, output, host, eval, stability 또는 resource incident에 사용한다. ordinary code bug, static audit, new skill creation 또는 symptom-free optimization에는 사용하지 않는다.
Build, test, publish, invoke, schedule, and update Railcode managed agents with the Railcode CLI. Use when creating an organization or personal managed agent, editing an agent manifest (JSON or YAML), running a draft or saved agent, investigating a run, managing its cron schedule, running it from Slack (@Railcode $agent), pairing it with a companion app, processing files in its sandbox, or using personal connectors (Gmail, Slack, ...) on behalf of one owner. Do not use for static Railcode apps, in-app LLM tool loops (llm.generate({ tools }) — see create-railcode-app), or general organization administration.
Use when writing or reviewing agent instructions and current-state docs — rules files (AGENTS.md/CLAUDE.md), skill bodies and descriptions, prompts, and design/plan/process docs — or on request to prune a task or session file. Restates negation priming, absence declarations, stale meta-narrative, and strawman warnings as positive targets or consequences.
Discover which AE/TE/ThinkingEngine knowledge bases accessible to the current user are worth searching, and decide whether to search at all, through read-only operations. Use when the user explicitly asks to search knowledge bases, internal documentation, or company materials. Also use when a task requires internal facts or business context, including product design and rules, events, campaign or operations calendars, release and iteration records, workflows, policies, and terminology; use it as well when this context is needed to explain data analysis results, anomalies, or trends and form evidence-backed conclusions. Do not use if the user explicitly asks not to access knowledge bases. This skill covers discovery and candidate selection; run the actual `+index` / `+grep` / `+read` / `+ask` retrieval with the `ae-kb` skill.
Use the Trove hosted memory graph (MCP server "trove") to recall prior work, decisions, preferences, and system knowledge before re-deriving them, and to save durable new facts back. Trigger whenever a question touches past projects, "how does my setup work", preferences, decision history, or when a session produces a decision or fact worth remembering. Routes to the trove-recall, trove-remember, trove-ingest, and trove-lint skills; the mcp__trove__* tools (remember, recall, grep, read, connect, forget) are the interface.
Rewrites assistant talk into plain language a smart adult can follow on the first read: one-sentence gist, one everyday analogy, sentences under 25 words, next action first, and no AI writing tells. Use when asked to "ELI5", "explain like I'm 5", "wait what", "re-pitch that", "in plain English", "dumb it down", "I don't get it", "that didn't land", "I'm lost", "what does that mean", "too technical", "talk to me like I have ADHD", "stop using jargon", or "eli5 mode". For product or marketing copy use copywriting; for docs use docs-writing; for PR titles and bodies use pr-creator.
Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.
Analyze footnotes and accounting policies from SEC filings using Octagon MCP. Use when researching revenue recognition policies, critical estimates, lease obligations, pension assumptions, stock compensation, contingencies, and new accounting pronouncements.
Beads (bd) distributed git-backed issue tracker for AI agents: hash-based IDs, dependency graphs, worktrees, molecules, sync, GitLab/Linear/Jira. Keywords: bd, beads, issue tracker, git-backed, dependencies, molecules, worktree, sync, AI agents.