configs/hermes/default/skills/research/experiment-log-structure/SKILL.md
Use when an agent needs to produce, update, validate, or normalize a standardized experiment-log entry without running an interview. Defines the canonical structure, pre-registration rules, evidence/interpretation split, calibration tags, and append-only revision model for durable experiment records.
npx skillsauth add poorrican/dotfiles experiment-log-structureInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill defines the artifact contract for a standardized experiment entry: a durable markdown record of what was planned, what was run, what happened, what it means, and what follows.
Use this when the content already exists and an agent needs to write, clean up, standardize, update, or audit the entry itself. Unlike experiment-log-interview, this skill does not run a Socratic interview. It focuses on producing a defensible artifact.
The governing principle is: what happened, what it means, what it implies, and what comes next are different things and must stay visibly separate.
Use when:
Do not use when:
experiment-log-interview.research-proposal-structure.Create or normalize a markdown entry using references/template.md as the authoritative skeleton.
Default location: experiments/<short-slug>.md in the working directory unless the caller specifies another path.
The resulting document should be sufficient for a skeptical reader who has only the entry and no chat transcript.
Every entry should be interpreted as one of three modes:
Use these tags exactly:
[high][medium][low][speculative]These tags apply to findings and implications, not to raw evidence itself.
When revising an existing entry:
An entry is ready when:
references/template.md — canonical experiment-entry skeleton.development
Implement multiple GitHub issues sequentially as stacked branches in separate worktrees, with an implementer sub-agent and an independent reviewer sub-agent per issue. Use when the user gives you two or more dependent issues and asks for them to be implemented in order, or says "stacked branches", "sequential issues", "issue chain", "do these in worktrees", or describes a parent epic with child issues that build on each other. Also reach for this whenever the user wants implementation and verification done by separate agents.
testing
Use when an agent needs to produce, update, validate, or normalize a standardized research proposal artifact without running an interview. Defines the canonical structure, confidence-tag semantics, decision logic, and completion checks for proposal.md-style research plans.
development
Conducts a structured Socratic interview to produce a comprehensive markdown research proposal that handles cascading uncertainty (fixed end-question, branching experiments). Use this skill whenever the user wants to write a research proposal, research plan, study design, experiment plan, thesis proposal, RFC, or "spec out" a research direction — even if they don't explicitly say "interview me." Trigger when the user says things like "help me plan this research", "I want to design experiments for X", "draft a proposal for...", "think through a research direction", or shares a half-formed research idea and asks for help structuring it. The skill interviews the user, challenges their priors with evidence requests and falsifiers, optionally uses sub-agents to explore prior art, and builds the proposal markdown incrementally so context stays clean and the document is always grounded.
testing
Conducts a structured Socratic interview to produce or update a single experiment log entry — the durable record of what was run, what it showed, and what it means. Use this skill whenever the user wants to log an experiment, write up results, record a backtest, capture a finding, pre-register a run, document a study, or update an existing entry with new results or a revised interpretation. Trigger on phrases like "log this experiment," "write up the results of...", "I ran X, help me document it," "pre-register this," "update the entry for...", or when the user shares results and asks for help interpreting and recording them. The skill enforces the four-way separation between what happened, what it means, what it implies, and what comes next; challenges the user's interpretations with evidence requests and alternative explanations; and writes incrementally to keep context clean and the entry always grounded.