Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins.
Install Bioconductor Targetdecoy
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/proteomics/targetdecoy .claude/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .claude/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/proteomics/targetdecoy .agents/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .agents/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/proteomics/targetdecoy .cursor/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .cursor/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/bioMate-AI/biomate-bioconductor-kb.git --path skills/proteomics/targetdecoy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/proteomics/targetdecoy .gemini/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .gemini/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/proteomics/targetdecoy .github/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .github/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bioMate-AI/biomate-bioconductor-kb bioconductor-targetdecoy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bioMate-AI/biomate-bioconductor-kb.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/proteomics/targetdecoy .opencode/skills/bioconductor-targetdecoy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bioconductor-targetdecoy" agent skill from https://github.com/bioMate-AI/biomate-bioconductor-kb/tree/main/skills/proteomics/targetdecoy into .opencode/skills/bioconductor-targetdecoy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioconductor-targetdecoy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
bioconductor-targetdecoy- GitHub stars
- 804
- Token cost
- ~1.5k tokens
- SKILL.md length
- 573 words
- Files
- 1
- Skills in repo
- 112
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins.
- Tasks that involve Bioinformatics
- SKILL.md covers Workflows, When to Use, When NOT to Use and Data Requirements, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Data analysis
What it does
Bioconductor Targetdecoy is an agent skill from bioMate-AI/biomate-bioconductor-kb. A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from a sequence database. Search engines are used for this purpose. These tools compare each of the observed spectra to all candidate theoretical spectra derived from the sequence data base and calculate a score for each comparison. The observed spectrum
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Bioinformatics and Data analysis. The repository describes itself as: BioMate-KB Bioconductor Skills — 200 packages (top 100 by downloads + 100 rising stars) as vignette-grounded Claude/agent skills, with per-package workflow recipes.
When your agent uses it
- Tasks that involve Bioinformatics
- Tasks that involve Data analysis
Example prompts
- “/bioconductor-targetdecoy”
What it can do on your machine
Read from SKILL.md and the folder at commit c9bd4d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are r).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
bioconductor.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Bioconductor Targetdecoy loads about 1.5k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 573 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 573 words (~1,454 tokens).
“A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from…”
- name
- bioconductor-targetdecoy
- when_to_use
- Use when: Introduction to TargetDecoy; Proteomics quantification (TargetDecoy); Quality control and preprocessing (TargetDecoy). Not for: Requires R ≥ 4.1 and…
- user-invocable
- false
Files
Just SKILL.md in skills/proteomics/targetdecoy of bioMate-AI/biomate-bioconductor-kb.
Open the folder on GitHubat commit c9bd4d8
Compare with similar skills
Bioconductor Targetdecoy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bioconductor Targetdecoy this skillbioMate-AI/biomate-bioconductor-kb | 804 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Pyopenmsdavila7/claude-code-templates | 33k | 11 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Gwas Databasedavila7/claude-code-templates | 33k | 10 repos | ~5k | Automated safety check: Pass | MIT | |
| Bio Data Visualization Manhattan Qq LocuszoomGPTomics/bioSkills | 1.2k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Heatmap Beautifieraipoch/medical-research-skills | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Bioconductor Targetdecoy
What does Bioconductor Targetdecoy do?
A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. Bioconductor Targetdecoy is an agent skill from bioMate-AI/biomate-bioconductor-kb. A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins.
When should I use Bioconductor Targetdecoy?
Bioconductor Targetdecoy fits situations like: tasks that involve Bioinformatics; tasks that involve Data analysis.
How do I install Bioconductor Targetdecoy in Claude Code?
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a claude-code`. Or copy the skill folder (skills/proteomics/targetdecoy in bioMate-AI/biomate-bioconductor-kb) into .claude/skills/bioconductor-targetdecoy in your project. Claude Code loads it when a task matches its description.
How do I install Bioconductor Targetdecoy in Codex?
Run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a codex`. Or copy the skill folder (skills/proteomics/targetdecoy in bioMate-AI/biomate-bioconductor-kb) into .agents/skills/bioconductor-targetdecoy in your project. Codex loads it when a task matches its description.
Can I use Bioconductor Targetdecoy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bioMate-AI/biomate-bioconductor-kb --skill bioconductor-targetdecoy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bioconductor-targetdecoy, .gemini/skills/bioconductor-targetdecoy, .github/skills/bioconductor-targetdecoy and .opencode/skills/bioconductor-targetdecoy in your project.
What does Bioconductor Targetdecoy need to run?
SKILL.md names no scripts, command-line tools or credentials: Bioconductor Targetdecoy is instructions for the agent only.
Does Bioconductor Targetdecoy access the network?
SKILL.md names 1 domain. As links in the text: bioconductor.org. This is read from the text; nothing was executed.
Is Bioconductor Targetdecoy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Bioconductor Targetdecoy use?
Bioconductor Targetdecoy has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Bioconductor Targetdecoy use?
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Bioconductor Targetdecoy?
Skills that share tags, products or a category with Bioconductor Targetdecoy: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Pyopenms (davila7/claude-code-templates, 33k stars), Gwas Database (davila7/claude-code-templates, 33k stars) and Bio Data Visualization Manhattan Qq Locuszoom (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bioconductor Targetdecoy?
bioMate-AI (a GitHub organization) maintains it in bioMate-AI/biomate-bioconductor-kb, which has 804 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on June 20, 2026.
Source: bioMate-AI/biomate-bioconductor-kb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.