spk-mission-research
Operate pre-spec or in-mission research workflows while keeping findings tied to mission decisions.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Operate pre-spec or in-mission research workflows while keeping findings tied to mission decisions.
Explain Spec Kitty mission types, step contracts, action indices, and when to choose each mission workflow.
Bitcoin/Lightning/ecash domain theory AS IMPLEMENTED IN ZEUS, for readers who may know React Native but zero Lightning (or vice versa). Load when working on or reading code that touches - BOLT11 invoice decoding (utils/Bolt11Utils.ts), payments (MPP/AMP/keysend, TLV records, routing fee limits), LNURL pay/withdraw/auth/channel or lightning addresses, ZEUS Pay / Zaplocker / nostr attestations, LSP flows (Olympus Flow 2.0, jit_bolt11 wrapping, LSPS0/1/7, 0-conf channel acceptance), Cashu/ecash (CDK FFI, multimint melts, token extraction), Nostr Wallet Connect (NIP-47, service and client roles), Boltz-protocol swaps, on-chain (address types, taproot, PSBT, coin control, CPFP bump retry, mempool.space fees), the universal input router utils/handleAnything.ts and its detector ordering, CLINK/noffer, or watchtowers. Also load when confused by terms like HTLC, preimage, hodl invoice, JIT channel, melt quote, submarine swap, or keysend while reading Zeus code.
Load when the task is choosing or scoping research/roadmap work on Zeus — "what should we build next", "where can Zeus advance the state of the art", "is this feature/scheme novel", "can we claim X publicly", picking up stalled work (bip-321, android-16kb-page-size, LSPS7 refund UI, payLightningInvoiceStreaming), or writing external-facing claims (blog posts, release notes, conference talks, comparisons with other wallets). Covers the four maintainer-endorsed research directions (self-custodial UX parity, protocol leadership, multi-backend robustness, privacy leadership), candidate infrastructure problems, and the proof/reproducibility standards required before any public novelty claim.
Research what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".
Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all statistical claims (numbers, percentages, named sources), fetches each cited URL via WebFetch, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification".
Query Google NotebookLM notebooks for source-grounded, citation-backed answers from user-uploaded documents. Manages notebook library, handles Google authentication, and supports smart discovery. Works standalone via /blog notebooklm or internally from blog-write and blog-researcher for Tier 1 research data. Falls back gracefully when not configured. Use when user says "notebooklm", "notebook", "query notebook", "ask notebook", "notebook research", "source grounded research", "document query", "notebook library".
Build and maintain company research profiles on AlphaGBM — auto-generated from fundamentals, PE/PB Band history, financial red flags, and event radar. Each profile is one user+ticker record that the system refreshes on schedule. Use when: creating a watchlist of companies to track, pulling up a saved research file, refreshing a profile's market data, or checking PE/PB bands. Triggers on: "add AAPL to my knowledge base", "show my profile for NVDA", "refresh my TSLA profile", "list my tracked companies", "PE band for META", "what's in my research brain", "创建公司档案", "我的投研档案".