Career
claudeCareer planning — log roles, compare offers, track applications, salary benchmark, with planning/job-search/salary variants.
55 skills · 27 commands · 2 agents
Look up Jewish texts and references through Sefaria's public REST API (no key, no MCP) — Tanakh, Talmud, Mishnah, Halakha, Kabbalah, commentary, dictionaries, and topics. Includes nikkud add/strip skills (Dicta nakdan + removenikud APIs, offline regex, unikud fallback).
Plugin jewish-texts-reference from marketplace danielrosehill in danielrosehill/Claude-Code-Plugins. Commands read from the repo's manifest — today.
add-nikkudAdd Hebrew vowel points (nikkud) to unvocalized Hebrew text — vocalisation / niqqud restoration. Use when the user pastes consonantal Hebrew and asks to "add nikud", "vocalise", "add vowels", "nakdan", or wants to turn ktiv male / modern Hebrew into pointed text. Two backends — Dicta's nakdan (defau
find-referenceFind passages, sources, or topical references in the Jewish library via Sefaria when the user knows the concept but not the citation. Combines keyword search, semantic search, dictionary lookup, and topic browsing across Tanakh, Talmud, Halakha, Kabbalah, and commentary.
find-textRetrieve the actual text of a known passage in the Jewish library via Sefaria — Tanakh, Talmud, Mishnah, Halakha, Kabbalah, commentaries. Use when the user names a specific reference (e.g. "Genesis 1:1", "Berakhot 2a", "Mishneh Torah, Hilchot Teshuvah 3:4") and wants to read it, or asks for a passag
strip-nikkudRemove Hebrew vowel points (nikkud) and/or cantillation marks (te'amim) from Hebrew text. Use when the user asks for "unvocalized", "consonantal", "without nikkud", "ktiv male", "strip vowels", "remove te'amim/trope", or asks to clean Hebrew text fetched from Sefaria (which ships with full nikkud an
Career planning — log roles, compare offers, track applications, salary benchmark, with planning/job-search/salary variants.
55 skills · 27 commands · 2 agents
Product research and procurement skills with a particular focus on technical specification conformance — does this part actually meet the requirement, and can you show your working. Marketplace-agnostic: spec definition from a vague want or a photograph, annotated search vocabulary, versioned spec-as-code, manufacturer datasheet retrieval, cross-region part-number equivalence, conformance evaluation matrices, bills of materials and RFQ packages. Plus the surrounding process: intake, research, compare, evaluate, recommend, market-check, spec-driven market landscape surveys, live price/delivery scanning through your own VPN egress, preference memory and hardware-rig profiling. Hands off to the marketplace-specific plugins (shopping, israel-shopping, amazon, aliexpress-israel-skills) once a question becomes about a particular shop.
14 skills · 34 commands · 7 agents
Smart home — Home Assistant, Snapcast multi-room audio, Plex media server ops, with HA/audio/media-server variants.
3 skills · 47 commands · 5 agents
Audio production — normalize, VAD, transcribe, diarize, podcast assembly, with engineering/podcast/transcript variants.
17 skills · 34 commands · 1 agent
Image production — editing, format conversion, batch ops, and filesystem organisation by resolution, aspect ratio, orientation, format, EXIF time, camera, plus dedupe and metadata scrubbing.
29 skills · 19 commands
PR and media monitoring — scan coverage, summarize press, draft responses, comms strategy, with monitoring/response/strategy variants.
1 skill · 28 commands · 17 agents
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
1 skill · 1 command · 1 agent
Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick lookups or single-file reads.
1 skill
Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.
1 skill
View, search, download, and read academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv.
1 skill · 10 commands · 5 agents · 1 MCP server
Eighteen-skill bundle covering the 《经济研究》 manuscript lifecycle: workflow router, topic selection, introduction, literature review, theory & hypotheses, data & sample, modern identification (DID/IV/RDD/DML), mechanism (post-江艇 2022), heterogeneity, robustness, tables / figures, policy implications, abstract, house style, reviewer-lens self-audit, reproducibility, submission preflight, and R&R rebuttal — plus a runnable Stata + Python code library.
18 skills
14 personal productivity skills: resume, lead research, meeting insights, naming, invoices, email triage, calendar prep, investor updates, pitch decks, weekly review, capture, deep work, reflection, and a multi-session learning workspace
14 skills
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