Use skills to bring a repeatable method into a task. Open Customize → Skills, search the name or subject, enable the relevant entry, and select it through / or name it in your request.
The complete directory describes every bundled skill and links to its instructions. The installed version is authoritative when names or availability differ.
Plan and challenge an idea
Use brainstorming for open-ended directions, hypotheses for observations that need a testable explanation and a discriminating experiment, and peer-review for evaluating a claim or a draft.
Use hypotheses on the observations in notes/pilot.md. Propose three
competing explanations, the evidence each predicts, and a small
experiment that distinguishes them. Save the comparison in methods/.
Choose an output that can be checked, rather than requesting more ideas without selection criteria.
Review a manuscript or result
Use peer-review on drafts/manuscript.md. Separate major methodological
concerns from presentation issues, cite the relevant sections, and list
the evidence or analysis needed to resolve each major concern.
For a code change or an implementation, /review organizes findings against the diff. For a paper result, reproduce freezes the target first and returns one of five verdicts.
Audit sources
Use sources on results/report.md. Check each important claim against its
cited source, distinguish primary from secondary evidence, and save a
table of supported, contradicted, and unresolved claims.
Ask for source locations and access failures. A bibliography entry alone does not prove that the source supports the sentence.
Reproduce and compare
Use reproduce for the target result in papers/study.pdf. Inventory the
available code and data, identify missing inputs, define a success
criterion, and propose a small pilot before the full run.
After runs complete:
Use compare on the saved run reports. Compare the same metric, dataset,
split, and resource assumptions. Include failed runs and explain which
conclusions the evidence can support.
See Reproduction for the full workflow.
Package a deliverable
Use export to package the final report, source list, figures, tables,
reproduction command, and limitations. Verify every referenced file and
write a README for someone who did not see this conversation.
Use Results to retain selected completed outputs and Team workflows for a handoff.
Add domain expertise
Search the directory for the actual method or data type: single-cell analysis, sequence processing, molecular descriptors, statistical modeling, quantum simulation, training, or scientific writing. Read the linked instructions to check input formats, software, and account requirements.
Combine a domain skill with a concrete task:
Use the relevant sequence-analysis skill for data/sequences.fasta. First
check readiness and input validity, then propose the method and expected
outputs. Preserve source records and report failed cases separately.
A skill may reference software that is not installed or a service you have not connected. Resolve the prerequisite or choose another method before expecting the output.
Create your own procedure
For a recurring lab protocol, start from Writing a skill. Keep the instructions specific about input, steps, validation, output, and failure reporting. Version the skill beside the protocol it implements.