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  1. Home
  2. ✦Other
  3. ✦Verification Before Completion
⏱ Pasting from scattered docs→Other — one install

Verification Before Completion

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

📦 Other✦Premium script✦7 languages

WHAT YOU BECOME

Use Cases

Perfect for these scenarios

✦ 01🔬

Gene Discovery

Identify gene functions, RefSeqs, and phenotypes for research projects quickly.

✦ 02📊

Batch Analysis

Retrieve metadata for multiple genes simultaneously for large-scale studies.

✦ 03🧬

Functional Annotation

Annotate gene sequences with GO terms and locations for bioinformatics pipelines.

✦ 04🩺

Clinical Research

Explore gene-disease associations and phenotypes for precision medicine applications.

MEASURED GAIN

Why Choose This Skill

Proven benefits and measurable impact

10x

Faster Gene Queries

Reduce manual gene lookup time from hours to minutes with automated API access.

50%

Streamlined Workflows

Cut data processing steps by half with integrated NCBI Gene database queries.

3x

Enhanced Research Output

Accelerate gene annotation tasks, boosting functional analysis productivity by 3x.

WHAT YOU GET

What’s Inside

Files, tags and the three-step install

Download or copy the skill file from the source repository.
Put the skill file into Claude's skills directory — ~/.claude/skills/
Restart Claude or run the reload command, and the skill loads automatically.
$ cp obra__superpowers/skills/verification-before-completion/skill.md ~/.claude/skills/

Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.

Technical information

Author
obra
Category
Other
File size
4.10 KB
Source repository
obra__superpowers
License
MIT
Metadata
Includes YAML metadata
View GitHub source

TAKE IT WITH YOU

$9.9/month
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All skills come from the open-source community; original authors keep their rights.

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Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

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Adaptyv

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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

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