
Use when encrypting, decrypting, signing, or managing confidential content. Smart routing across three tools: cryptoid for Hugo site encryption, pagevault for HTML and file encryption, and gpg for file-level encryption and signing.
Cross-post blog content to social platforms. Crier is MCP-native with 17 tools. This skill provides judgment context that tools can't: rewrite guidelines, platform culture, workflow tips.
Design rigorous experiments for a research paper: hypothesis formulation, variable identification, methodology selection, and success criteria. Produces a structured experiment plan with reproducibility in mind.
Initialize a paper repository: discover structure, infer format, gather author info, and create .papermill/state.md. On existing repos, refresh mode adds missing schema fields without overwriting data. Migrates legacy .papermill.md to .papermill/state.md automatically.
Draft a JOSS paper.md and paper.bib. Discovers existing manuscripts first, then synthesizes package analysis, competing packages, and the required sections (Summary, Statement of Need, State of the Field, Software Design, Research Impact, AI Disclosure).
Use when the user needs to interact with their plaintext journal. Provides CLI reference for jot, a plaintext journal tool for capturing ideas, tasks, notes, plans, and logs. Trigger on: "jot add", "jot list", "jot search", "jot tags", "capture idea", "track task", "journal", "what are my tasks", "what am I working on", "project status", "search my notes", "open tasks", "stale entries", "add a note", "log this".
Audit a book manuscript against Amazon KDP requirements: interior formatting, cover specs, metadata, and genre-specific checks. Handles technical books (LaTeX, math), fiction, and nonfiction. Produces a structured gap report with Critical and Warnings sections plus automation suggestions.
Craft the four marketing artifacts for an Amazon KDP listing: blurb (with HTML formatting), keywords, BISAC categories, and author bio. Reads manuscript context to generate variants, then saves outputs to the user config. These four artifacts determine discoverability and conversion on Amazon.
Orchestrate the full Amazon KDP publishing workflow: audit, listing craft, manuscript prep, cover generation, dashboard submission, pricing, publish. Phases gate each other. Handles both eBook and paperback. Manages MCP-driven cover generation or falls back to manual prep.
Use mf (metafunctor) to manage papers, projects, series, and content for the metafunctor.com Hugo site. Also covers site architecture, taxonomies, front matter conventions. For cross-posting, use the crier plugin. Invoke from ANY repo; mf works globally.
Conduct a systematic literature survey. Reads the thesis from .papermill/state.md, searches academic sources, classifies references, identifies gaps, generates BibTeX, and updates the state file. Can launch the surveyor agent for deeper autonomous search.
Develop, verify, or refine mathematical proofs: strategy selection, logical-correctness checks, gap identification, and clear presentation. Works with existing drafts or constructs from scratch.
Use when writing fiction, editing fiction prose, reviewing chapters, or drafting scenes. Covers prose craft, dialogue mechanics, scene structure, and common failure modes in AI-assisted fiction. Trigger phrases: "write fiction", "edit chapter", "prose review", "scene draft", "dialogue check", "fiction craft", "edit this scene", "review my prose".
Launch a multi-agent editorial review with 8 specialists (2 literature scouts plus 6 domain reviewers) orchestrated by an area-chair agent. Produces a unified report plus specialist reports in .papermill/reviews/. Updates .papermill/state.md.
When and how to use the repoindex plugin surface (MCP tools, agents, slash commands) for collection queries, release prep, activity summaries, and tag discipline. Use when users ask repoindex questions, mention their repo catalog, or want to know which repoindex tool fits their task.
Use when working in a project with a worldbuilding documentation ecosystem (docs/ or lore/ directory). Provides the documentation-first methodology: canonical hierarchy, doc roles (timeline, lore, characters, systems), propagation discipline, and the dual canonical and exploratory workflow.
Launch an autonomous research agent that iterates toward a goal through proofs, code, simulations, tests, and counterexample search. Fire-and-forget mode: the agent runs autonomously and writes all results to .research/ in the target project.
Show the current state of an in-flight research-agent run from .research/state.md, log.md, and attempts/. Read-only summary of cycles, sub-problems, hypothesis statuses, eval trend, and current focus.
Force a research-agent run to conclude. Launches the researcher in synthesis mode: it reads state.md and log.md, writes .research/synthesis.md with outcome, key findings, failed approaches, open questions, and recommendations, then exits. Use when current results are good enough or the agent is stalling.
Identify and evaluate publication venues. Considers scope, impact factor, review timeline, acceptance rate, and fit. Produces a ranked shortlist with submission strategy guidance. Updates .papermill/state.md.
Audit a Python package's metadata, verify tests pass, build distributions, test on TestPyPI, then publish to PyPI. Validates name, version, readme rendering, and dependency requirements. Handles credential setup and trusted publishers.
Orchestrate the full R publication pipeline: CRAN submission for distribution, JOSS paper for DOI and peer review, optionally a JSS methods paper. Coordinates audits, drafting, and review cycles.
Evaluate R package and paper.md against the full JOSS reviewer checklist. Covers software requirements, paper format, and community standards. Gap report with Critical, Warnings, and Passed sections, plus fix recommendations.
Extract or refine a paper's central claim and novelty via Socratic dialogue or existing-draft analysis. Two modes: extract from a draft, or explore and sharpen a new idea. Updates .papermill/state.md.
Audit an R package against CRAN Repository Policy and submission requirements. Produces a gap report with Critical (must fix), Warnings (should fix), and pass/fail assessment per requirement type. Offers automated fixes where possible.
Detect project type and route to the appropriate publication workflow. Routes R packages to the CRAN/JOSS pipeline, Python packages to PyPI publishing, or asks for clarification if ambiguous.
Display a read-only dashboard for paper project status: stage, thesis, experiments, review history, venue, and suggested next action. Reads .papermill/state.md.
Design Monte Carlo simulations for theoretical validation: sample size determination, convergence diagnostics, and result presentation. Specialized for statistical methodology papers.
Design paper structure: generate a section-by-section outline with purpose, key content, estimated length, and narrative arc. Adapts to paper type and venue conventions. Updates .papermill/state.md.
Perform final pre-submission checks: formatting, citations, figures, metadata, and build verification. Systematic checklist identifies remaining issues and suggests fixes.
Launch a multi-agent writing system with specialist writers for literature, formal content, methodology, and results, orchestrated by a lead author. Produces a manuscript draft and section-level artifacts in .papermill/drafts/. Updates .papermill/state.md.
Resume an interrupted research-agent run. Re-launches the researcher with instructions to read .research/state.md and log.md, reorient, and continue from the documented current focus. Use after a context compression, session restart, or explicit pause.