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SkillsMP has collected 49 skills from hoanganhduc/openclaw-bot. Open a skill to review its source and details.
Showing 40 of 49 collected skills.
Use when the user wants to parse, convert, chunk, or structurally analyze PDFs, DOCX, PPTX, HTML, images, audio transcripts, or similar documents with Docling. Prefer this skill for local document parsing before ad hoc text extraction.
Search Lean 4 / Mathlib declarations (theorems, definitions, lemmas, instances) by name or by informal meaning. Direct-CLI adapter for the OpenClaw sandbox (OpenClaw is not an MCP client, so this replaces the lean-explore MCP server).
Resolve DOI/ISBN details, prepare manifests from text or txt files, use getscipapers for retrieval/search, and manage request watches safely.
Resolve DOI/ISBN details, prepare manifests from text or txt files, use getscipapers for external retrieval/search after library-first routing, and manage request watches safely.
Use VNU eOffice from OpenClaw: monitor updates, list latest documents, search documents, download attachments, and send requested files through Telegram.
Use only when the user explicitly requests both annotation and review for a paper task. Produces annotated review outputs and supports an explicit add-to-Zotero step when requested.
Use when the user wants to search, retrieve, send, add, update, sync, export, convert, or clean books from the managed Calibre library runtime.
Use when the user asks to draw, refactor, extract, compile, or review a TikZ/PGF figure, especially structural diagrams such as flowcharts, DAGs, trees, commutative diagrams, finite graphs, automata, or research-derived summary figures. Prefer this skill when…
ALWAYS use this skill when the user asks to send, get, retrieve, find, share, add, or search for a paper. This skill manages the user's Zotero library with 10,000+ papers and can retrieve PDFs, create share links, add new papers, and search. Prefer this over…
Send email over SMTP using only the Python standard library, with plain-text and HTML bodies, file attachments, cc/bcc, reply-to, a dry-run preview, connection verification, and redacted config inspection.
Use before delivering work that incorporated content the agent did not author — fetched web pages, PDFs, retrieved or library documents, tool or subagent output — or that performs an outward-facing or irreversible action. Maps trust boundaries and runs an…
Run bounded autonomous research iterations with evidence gates, recovery ledgers, and optional cross-agent handoffs. Use when the user asks to continue research autonomously, run a research loop, integrate autonomous agent loops, or keep improving a research…
Use for a clarity-only pass that must not change behavior — simplifying, renaming, de-duplicating, or restructuring code, configs, research scripts, or prose. Gates on understanding the target before touching it and re-verifies after each change so behavior…
Use in-flight, the moment you are about to let a non-trivial decision stand — a branching or control-flow change, crossing a module/service/agent boundary, an assertion the type system or proof checker cannot see, a high-stakes or irreversible action, or an…
Use when drafting, rewriting, polishing, or revising prose while preserving author intent by tracking claims, evidence, caveats, and revision deltas.
Use when choosing an appropriate model, reasoning level, and role for subagents or multi-agent research work.
Use when the user mentions OpenProse or prose workflows, wants explicit multi-agent research and synthesis, or wants a reusable orchestration pattern. In Codex, emulate OpenClaw OpenProse using spawn_agent, structured decomposition, and workspace artifacts.
Use before a version- or spec-sensitive decision — framework or library code, a CLI flag, a config schema field, or a named standard/edition — when correctness depends on the exact version. Detect the version, ground the decision in the authoritative source,…
Use when the user wants to organize, rearrange, sort, or clean up workspace files with safe dry-run and explicit apply behavior.
Use when preparing optional AxiomMath AXLE MCP setup for manual formal-proof assistance.
Use when drafting, validating, or normalizing bounded cross-agent task/result packets for parent-controlled handoffs. This is a packet-contract skill, not a runtime delegation broker.
Use when preparing optional LeanExplore MCP setup for Lean declaration search and formalization support.
Use when deciding whether a research claim should enter the optional Lean formalization lane.
Use when checking whether a Lean artifact can safely support a research claim.
Use when the user wants animated math (handwritten-style equation writing, equation morphing between derivation steps, and emphasis) rendered with Manim, as a silent video clip that can stand alone or be spliced into a slides-to-video deck. The free, optional…
Use when starting a nontrivial research task to frame scope, success criteria, evidence plan, and the right downstream workflow before expensive browsing or multi-agent work begins.
Use when a research draft or report exists and needs a pre-final review for unsupported claims, ambiguity, scope drift, or missing evidence before delivery.
Use immediately before calling a research answer done, final, or complete to verify evidence coverage, dates, remaining gaps, and delivery readiness.
Use when the user wants to turn prepared slides (PNG, PDF, or PPTX) into a narrated, captioned video in a chosen language and presenter role, using only free tools. A three-phase human-in-the-loop flow (analyze, draft transcript, render) gates rendering…
Use when the user wants research, source gathering, current-information lookups, cross-source synthesis, or extraction from URLs/PDFs/videos using web search, page inspection, local tools, and sub-agents.
Use when selecting, ranking, or validating submission venues for an existing scholarly manuscript or draft venue shortlist. A deliverable venue recommendation requires comparator-paper evidence for every ranked venue; bibliography overlap and offline…
Fetch ranked RSS digests by tag; list, search, add, edit, import, export, disable, enable, or remove feeds; and run feed health checks.
Dynamically plan a multi-agent discussion, review, or research workflow with role selection, model assignment, round control, and recovery-aware orchestration.
Use when the user wants structured information from public scientific, biomedical, regulatory, materials, patent, or economic databases. This is a reference-first skill for selecting the right database and query strategy.
Use when a research task benefits from an explicit phased workflow with structured source handoff across search, analysis, and writing, and when preserving citations across phases matters.
Extract paper identifiers from research/RSS digests and create getscipapers manifests for retrieval.
Generate a minimal Lean-style theorem skeleton locally.
Use at the start of computationally intensive local tasks to detect CPU, GPU, memory, and disk availability, and to emit a `.openclaw_resources.json` planning file with strategy recommendations.
Verify small graph-theoretic claims using a local Python helper.
Use when a research or engineering task needs automatic heavy-compute routing through the local broker for Modal-backed remote CPU, high-memory CPU, or GPU execution.