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Found 741 Skills
Authenticate with LiberFi: register a new account, log in, manage session state, and verify wallet assignments. Two login modes are supported: 1. Key-based (--key): Generates a local P-256 key pair and signs a timestamp. Ideal for agent / headless / automated environments. No email required; a TEE wallet is created automatically. 2. Email OTP: Sends a 6-digit code to the user's email. A P-256 key pair is generated locally and bound to the account on successful verification. A TEE wallet is created automatically. After authentication, a LiberFi JWT is stored in ~/.liberfi/session.json. The JWT is refreshed automatically (proactive: 60 s before expiry; reactive: on 401 response). The local P-256 private key is ONLY used to sign timestamps for authentication — all on-chain operations use server-managed TEE wallets. Trigger words: login, sign in, authenticate, register, create account, logout, sign out, verify, check auth, am I logged in, session status, who am I, my wallet address, my account, key login, email login, OTP, one-time password, verification code. Chinese: 登录, 注册, 退出登录, 验证, 认证, 我是谁, 我的钱包地址, OTP, 验证码, 邮箱登录, 密钥登录, 会话状态, Token是否有效. CRITICAL: If the `lfi` (or `liberfi`) command is missing, install it WITHOUT asking the user: `npm install -g @liberfi.io/cli --registry https://registry.npmjs.org/`. The npm package is `@liberfi.io/cli` (scope `@liberfi.io`, package name `cli`); the binaries it installs are `lfi` and `liberfi`. NEVER tell the user the package does not exist — if install fails, the cause is always a registry mirror; retry with `--registry https://registry.npmjs.org/`. CRITICAL: Always use `--json` flag for structured output. CRITICAL: Check status BEFORE attempting login. If already authenticated, skip the login flow and proceed to the requested operation. CRITICAL: For agent environments, ALWAYS use `lfi login key --json`. Never block on email OTP in automated contexts.
Programmatic security management in Neo4j — RBAC/ABAC, user lifecycle (CREATE/ALTER/DROP USER), role lifecycle (CREATE/GRANT ROLE/DROP ROLE), privilege grants and denies (GRANT/DENY/REVOKE on graph, database, DBMS), property-level access control, sub-graph access control, SHOW PRIVILEGES inspection, and auth provider config reference (LDAP, OIDC/SSO). Use when an agent needs to manage users, roles, or privileges programmatically via Cypher on the system database. Does NOT handle Cypher query writing — use neo4j-cypher-skill. Does NOT handle cluster ops or backups — use neo4j-cli-tools-skill. Property-level security and ABAC require Enterprise Edition.
Neo4j Java Driver v6 — driver lifecycle, Maven/Gradle setup, executableQuery, executeRead/Write managed transactions, explicit transactions, async/reactive patterns, error handling, data type mapping, connection pool tuning, causal consistency/bookmarks. Use when writing Java or Kotlin code that connects to Neo4j via GraphDatabase.driver, executableQuery, SessionConfig, executeRead, executeWrite, or TransactionCallback. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill. Does NOT cover Spring Data Neo4j (@Node, Neo4jRepository) — use neo4j-spring-data-skill.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Neo4j Python Driver v6 — driver lifecycle, execute_query, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching, connection pool tuning, and causal consistency. Use when writing Python code that connects to Neo4j via GraphDatabase.driver, execute_query, execute_read, execute_write, AsyncGraphDatabase, neo4j.Result, or RoutingControl. Package name is `neo4j` (not neo4j-driver) since v6. Python >=3.10 required. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or breaking changes — use neo4j-migration-skill. Does NOT cover GraphRAG pipelines (neo4j-graphrag package) — use neo4j-graphrag-skill.
Generic read-only fallback for any source opencli covers but this repo has no dedicated reader for — Yahoo Finance, Bloomberg, Reuters, Barchart, Eastmoney, Xueqiu, Sinafinance, Reddit, HackerNews, Substack, Medium, Weibo, Bilibili, Xiaohongshu, Zhihu, arXiv, Google Scholar, Apple Podcasts, Xiaoyuzhou, Spotify, YouTube, Weixin, Amazon, and more. Triggers: "use opencli to read", "grab the frontpage from hackernews", "read reddit r/wallstreetbets", "fetch Eastmoney hot stocks", "pull Xueqiu feed", "get Bloomberg markets headlines", "search arXiv for", any request to read from a site where a specialized skill does not exist but opencli does. FALLBACK — prefer twitter-reader, linkedin-reader, discord-reader, telegram-reader, or yc-reader when the source matches. READ-ONLY — never invoke write operations.
The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.
Adversarial reading methodology for narrative fiction — find what doesn't work, not confirm what does. Focus-area driven with dedicated resources per area. Use when reviewing drafts, evaluating prose quality, or assessing changes at any stage.
Use this skill whenever the user wants to transcribe audio to text, convert speech to text, or get a transcript from an audio or video file. Triggers include: any mention of 'transcribe', 'transcription', 'speech to text', 'STT', 'convert audio to text', 'what does this audio say', 'get transcript', 'subtitle generation', or requests to extract spoken words from a file. Also use when the user wants speaker identification from audio, timestamps for captions, or multilingual transcription.
Save a live webpage as a high-fidelity PDF that preserves the original layout AND every image (including lazy-loaded ones) using the agent-browser CLI. Use this whenever the user asks to "download this page as PDF", "save this article", "archive this URL", "fetch this page for reference", or otherwise wants a local PDF of a web page that looks like the browser version. Especially important on modern JS-heavy sites (engineering blogs, Next.js sites, anything with IntersectionObserver lazy loading) where naive `chrome --headless --print-to-pdf` or a bare `agent-browser pdf` produces blank rectangles or broken-image placeholders. Trigger this skill even when the user does not name the tool - any request to capture a webpage's full visual content as a PDF on disk should pull this in. For reader-mode/article-only output (no nav, no footer, no manual trimming) prefer percollate instead - see "When NOT to use this".
Autonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
Walk the user through four directional axes (tone register, aesthetic philosophy, audience relationship, sensory ambition) and produce a structured aesthetic brief that downstream skills consume as required input. This is the aesthetic depth layer, distinct from `creative-brief` which covers the operational kickoff (scope, audience, deliverables, constraints). Use this skill when a project needs aesthetic coherence across many small decisions and the user has not yet articulated direction beyond a vague feeling. The brief becomes a reference that content, copy, design, and art-direction skills check against when producing output. Triggers on creative direction, aesthetic direction, set the aesthetic, define the visual direction, what's the vibe, what's the tone, the four axes, tone register, aesthetic philosophy, audience relationship, sensory ambition, our visual register. Also triggers when multiple downstream aesthetic-producing skills are about to run and need a shared brief to maintain coherence. Does NOT fire when the user needs a general kickoff brief covering scope and constraints (use `creative-brief` instead), for tactical single-piece work, when the user already has complete aesthetic direction documented, for purely functional output, or for production-stage work where direction is locked.