research
Research on the open web, in feeds and in notebooks: pick the method that fits the question — pulse for what people say right now, deep-research for a…
Skill by youlianvr
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/youlianvr-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, ml, writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 5
codeload.github.com· found in install commanddoi.org· found in codegithub.com· found in codereddit.com· found in codesvpg.com· found in code
Files it touches
~/.claude/skills/research/tmp/test-vault/tmp/test-vault/raw/articles/hello.md/tmp/test-vault/wiki/index.md/tmp/test-vault/wiki/log.md- Your home directory (~)
What's inside
- Skill name
research- Description
- Research on the open web, in feeds and in notebooks: pick the method that fits the question — pulse for what people say right now, deep-research for a high-stakes investigation, research-summarizer for one paper or report, agent-reach for content behind a platform, searchmcp-research for an anti-detect multi-engine Camoufox pass, notebooklm for a NotebookLM notebook, llm-wiki for an Obsidian vault, rss-agent-viewer for feeds.
- License
- CC-BY-4.0
- Instructions
- 34 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (81)
- SKILL.md
- SKILL.md · parts/agent-reach/
- career.md · parts/agent-reach/references/
- dev.md · parts/agent-reach/references/
- search.md · parts/agent-reach/references/
- social.md · parts/agent-reach/references/
- video.md · parts/agent-reach/references/
- web.md · parts/agent-reach/references/
- SKILL.md · parts/deep-research/
- full-catalog.md · parts/deep-research/references/
- SKILL.md · parts/llm-wiki/
- AGENTS.md.template · parts/llm-wiki/assets/
- CLAUDE.md.template · parts/llm-wiki/assets/
- cursorrules.template · parts/llm-wiki/assets/
- README.md · parts/llm-wiki/assets/example-vault/
- sparse-autoencoder.md · parts/llm-wiki/assets/example-vault/wiki/concepts/
- anthropic.md · parts/llm-wiki/assets/example-vault/wiki/entities/
- index.md · parts/llm-wiki/assets/example-vault/wiki/
- log.md · parts/llm-wiki/assets/example-vault/wiki/
- monosemanticity.md · parts/llm-wiki/assets/example-vault/wiki/sources/
- interpretability-overview.md · parts/llm-wiki/assets/example-vault/wiki/synthesis/
- index.md.template · parts/llm-wiki/assets/
- log.md.template · parts/llm-wiki/assets/
- comparison.md · parts/llm-wiki/assets/page-templates/
- concept.md · parts/llm-wiki/assets/page-templates/
- entity.md · parts/llm-wiki/assets/page-templates/
- source-summary.md · parts/llm-wiki/assets/page-templates/
- synthesis.md · parts/llm-wiki/assets/page-templates/
- README.md · parts/llm-wiki/expected_outputs/
- append_log.json · parts/llm-wiki/expected_outputs/
- export_marp.json · parts/llm-wiki/expected_outputs/
- graph_analyzer.json · parts/llm-wiki/expected_outputs/
- ingest_source.json · parts/llm-wiki/expected_outputs/
- init_vault.json · parts/llm-wiki/expected_outputs/
- lint_wiki.json · parts/llm-wiki/expected_outputs/
- update_index.json · parts/llm-wiki/expected_outputs/
- wiki_search.json · parts/llm-wiki/expected_outputs/
- cross-tool-setup.md · parts/llm-wiki/references/
- ingest-workflow.md · parts/llm-wiki/references/
- lint-workflow.md · parts/llm-wiki/references/
- memex-principles.md · parts/llm-wiki/references/
- obsidian-setup.md · parts/llm-wiki/references/
- page-formats.md · parts/llm-wiki/references/
- query-workflow.md · parts/llm-wiki/references/
- wiki-schema.md · parts/llm-wiki/references/
- append_log.py · parts/llm-wiki/scripts/
- export_marp.py · parts/llm-wiki/scripts/
- graph_analyzer.py · parts/llm-wiki/scripts/
- ingest_source.py · parts/llm-wiki/scripts/
- init_vault.py · parts/llm-wiki/scripts/
- lint_wiki.py · parts/llm-wiki/scripts/
- update_index.py · parts/llm-wiki/scripts/
- wiki_search.py · parts/llm-wiki/scripts/
- SKILL.md · parts/notebooklm/
- async_action_discipline.md · parts/notebooklm/references/
- browser_automation_canon.md · parts/notebooklm/references/
- studio_output_custom_prompts.md · parts/notebooklm/references/
- action_router.py · parts/notebooklm/scripts/
- async_action_classifier.py · parts/notebooklm/scripts/
- custom_prompt_template_generator.py · parts/notebooklm/scripts/
- …and 21 more
SKILL.md (first lines)
# research — choosing a research method > Home branch in Memora: `root/skill/research`. > > Tool priority in Freebuff Desktop: (1) native `researcher_web` (for multi-step > questions) and `web_search` / `read_url` (for quick lookups), (2) `searchmcp` > (Camoufox via `call_mcp_tool`) for anti-detect multi-engine digests, (3) `parallel` > MCP when authenticated. ## Choosing a part | Question | Part | |---|---| | What are people saying *now*, in which direction is the conversation moving | `parts/pulse/` | | High-stakes decision, comparing N options, validating a hypothesis with adversarial checks | `parts/deep-research/` | | Digest one paper, article, report, or doc into structured findings | `parts/research-summarizer/` | | Extract content behind a platform (X, Reddit, YouTube, GitHub, LinkedIn, Bilibili, RSS) | `parts/agent-reach/` | | One broad anti-detect Camoufox web pass with digest, SIFT evaluation, and hypothesis spiral | `skills/research/parts/searchmcp-research/` | | Read or drive a Google NotebookLM notebook via `preview_*` or `browsermcp` | `parts/notebooklm/` | | Maintain an Obsidian knowledge vault on owner request | `parts/llm-wiki/` | | Follow RSS/Atom feeds, discover feeds, export OPML | `parts/rss-agent-viewer/` | ## Rules - Walk `root/skill/research` (and the project root) in Memora before starting; record synthesized findings and source verdicts as Memora nodes (large tables go to `_memory/reports/`, not into ad-hoc `sources/` folders). - Report search telemetry (`queries / received / cited`) directly in the chat response and the Memora node. - Gather scope/angle clarifications via a single batched `ask_questions` call with one-line consequences. - Read the actual URL (`read_url` or `searchmcp`) before citing a claim; snippets are leads, not evidence. ## Related `osint` (`skills/osint/parts/dossier/` for entity due diligence), `browser` (`preview_*` and `browsermcp` engines), `memory` (Memora RSI tree and `rsi_report_search`).
From youlianvr/oper-share, CC-BY-4.0.
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Signals
- Stars
- 14
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Oct 20, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- CC-BY-4.0
- Repository
- github.com/youlianvr/oper-share
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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antislop
youlianvr
Anti-slop filter for AI work: rejects technique without purpose and demands liveliness, for UI, copy and code comments.
SkillAFreshness: A★ 14Claude Code +9 - 0.637score
browser
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Browser and device automation: pick the right engine (the host's preview panel first, an anti-detect browser over MCP for hard targets, CDP CLI or Playwright…
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/youlianvr-research (last updated 2026-10-24)