research
Research a topic and return findings as a tool-result envelope.
Skill by netzkontrast
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/netzkontrast-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: 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. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- Research a topic and return findings as a tool-result envelope.
- License
- MIT
- Instructions
- 36 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# research Use this skill when a caller needs a structured investigation of a single topic — a question, a claim to verify, a person, a project, or a concept — and wants the result back as a tool-result envelope ready to be ingested by the context column. ## Inputs - `topic` (string, required): the subject under investigation. One topic per invocation; if the caller has several, dispatch the skill once per topic in parallel. ## Outputs A standard `tool_result` envelope (see `context/_shared/schemas/tool_result.schema.json`). On success, `data.topic` echoes the input and `data.findings` is a non-empty list of finding strings. `warnings` and `next_suggested_tools` are empty for the v0.1 placeholder implementation. ## When to use it Reach for `research` whenever upstream work needs background context before drafting, planning, or deciding — for example, before promoting an idea to an album, before writing lyrics that lean on real-world events, or before answering a question that depends on facts the caller does not already hold. Skip it when the caller already has verified sources in hand; this skill produces findings, not citations. The v0.1 implementation is a placeholder that returns a single synthetic finding so downstream wiring (cell loader, hooks, ontology) can be exercised end-to-end. Real retrieval, ranking, and citation come in a later phase.
From netzkontrast/agency, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 8, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/netzkontrast/agency
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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context-safe-patch-handling
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Never echo a Jules patch body into the orchestrator's context — always route through `tools/jules-patch-extract.py` which writes the patch to…
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SkillCFreshness: CClaude Code +9 - 0.471score
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Run a Jules session through its full lifecycle — dispatch, plan approval, monitor, verify, integrate — driven by the jules-row state machine.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/netzkontrast-research (last updated 2026-10-24)