discovery
Frame an uncertain product problem into evidence-aware problem hypotheses, learning questions, validation approaches, and decision criteria.
Skill by ThorStarlord
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/thorstarlord-discovery
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, agent-building
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/discovery
What's inside
- Skill name
discovery- Description
- Frame an uncertain product problem into evidence-aware problem hypotheses, learning questions, validation approaches, and decision criteria. Use when the active agent has a problem-discovery responsibility, the problem is vague or contested, or investment should be preceded by bounded learning. Produce discovery_findings without treating a research plan as proof that a hypothesis was validated.
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- methodology.md · references/
- output-contract.md · references/
SKILL.md (first lines)
# Discovery Satisfy a `problem_discovery` responsibility by producing `discovery_findings`. ## Inputs Require a problem statement, relevant product/customer context, and known constraints. Consume supplied persona, customer, repository, market, operational, or experiment evidence when available. ## Procedure 1. Read [references/methodology.md](references/methodology.md). 2. Reframe the problem in user/job/outcome terms without smuggling a solution into the problem statement. 3. Separate established observations from candidate root-cause hypotheses. 4. Identify decision-relevant hypotheses; use 3-5 only when that breadth is warranted. 5. For each hypothesis, identify evidence already available, missing evidence, the decision that evidence could change, and the lowest-cost plausible evidence source. A test/observation is only one possible source. 6. When empirical evidence is material, apply `../using-sensemaking/references/experiment-economy-v1.md` before recommending a probe or experiment. Do not promote missing evidence directly into experimentation. 7. Sequence learning by decision-relevant uncertainty reduction and total evidence-acquisition cost, not by presentation convenience. 8. Render [references/output-contract.md](references/output-contract.md) and return control. ## Stop or downgrade - A proposed experiment is not validation evidence. - If the requested conclusion requires customer or operational evidence that is unavailable, leave the hypothesis unresolved and name the missing evidence. - Do not launch experiments, contact users, or mutate external systems without separate authority. ## Boundary ```text uncertainty != experiment missing evidence != experiment required discovery recommendation != experimentation responsibility validation plan != validated hypothesis well-structured discovery artifact != correct product direction ``` Discovery owns the evidence need and candidate evidence source. Experiment Economy owns whether experimentation is warranted.
From ThorStarlord/sensemaking-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 7
- Last commit (this folder)
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
discovery skill. Agent Mart. https://agentmart.dev/skills/thorstarlord-discovery (last updated 2026-10-24)