Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
Add and remove albums from a Discogs wantlist or collection by artist and album name, master ID, or release ID.
$ npx skills add LeoYeAI/openclaw-master-skills --skill discogs-sync -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills discogs-sync --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discogs-sync .claude/skills/discogs-sync && 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 "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .claude/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-syncType 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 LeoYeAI/openclaw-master-skills --skill discogs-sync -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills discogs-sync --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/discogs-sync .agents/skills/discogs-sync && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .agents/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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 LeoYeAI/openclaw-master-skills --skill discogs-sync -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills discogs-sync --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/discogs-sync .cursor/skills/discogs-sync && 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 "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .cursor/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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/LeoYeAI/openclaw-master-skills.git --path skills/discogs-sync--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 LeoYeAI/openclaw-master-skills --skill discogs-sync -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills discogs-sync --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/discogs-sync .gemini/skills/discogs-sync && 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 "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .gemini/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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 LeoYeAI/openclaw-master-skills discogs-syncInstalls 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 LeoYeAI/openclaw-master-skills --skill discogs-sync -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/discogs-sync .github/skills/discogs-sync && 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 "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .github/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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 LeoYeAI/openclaw-master-skills --skill discogs-sync -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills discogs-sync --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/discogs-sync .opencode/skills/discogs-sync && 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 "discogs-sync" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/discogs-sync into .opencode/skills/discogs-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discogs-sync", 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.
discogs-syncAdd and remove albums from a Discogs wantlist or collection by artist and album name, master ID, or release ID.
Discogs Sync is an agent skill from LeoYeAI/openclaw-master-skills. Add and remove albums from a Discogs wantlist or collection by artist and album name, master ID, or release ID. Search marketplace pricing for vinyl, CD, and other formats. List wantlist and collection contents. Use when the user asks to add or remove a record from their Discogs wantlist or collection, check what's on their wantlist, look up marketplace prices, or find what a record is selling for. Also supports bulk operations via CSV/JSON file input.
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files (for example `_meta.json`, `discogs-sync.py` and `src/discogs_sync/__init__.py`).
It sits in Documents & Office, covering CSV and tabular files. It works with Python. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Ships script files (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
discogs.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Discogs Sync loads about 3.9k tokens when it runs. Until then it costs about 117 tokens; SKILL.md has 912 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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 912 words, ~3,930 tokens.
.claude/skills/discogs-sync/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Add and remove albums from your Discogs wantlist or collection, search marketplace pricing, and list what you have. Identify albums by artist/album name, Discogs master ID, or release ID. For bulk operations, pass a CSV or JSON file.
Runtime: Python 3.10+
Python packages (installed automatically on first run):
python3-discogs-client>=2.8 — Discogs API clientclick>=8.1 — CLI frameworkrich>=13.0 — Terminal output formattingInstallation: No manual pip install needed. On first run, discogs-sync.py creates a local .deps/ virtual environment inside the skill directory and installs dependencies from requirements.txt. Subsequent runs reuse the existing venv. This works on macOS (including Homebrew Python), Linux, and Windows without requiring system-level package installation.
To force a clean reinstall of dependencies, delete the .deps/ directory and run any command again.
# Authenticate (one-time setup — also installs dependencies on first run)
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py auth
# Add an album to your wantlist by name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist add --artist "Radiohead" --album "OK Computer"
# Add to your collection by release ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection add --release-id 7890
# Check marketplace prices for a vinyl pressing
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --artist "Miles Davis" --album "Kind of Blue" --format Vinyl
# List your wantlist
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist list
# Remove from collection
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection remove --artist "Nirvana" --album "Nevermind"Run once to authenticate. Two modes are available:
Personal access token (default) — simplest option. Generate a token at https://www.discogs.com/settings/developers.
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py auth
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py auth --mode tokenOAuth 1.0a — full OAuth flow with consumer key/secret, for apps that need delegated access.
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py auth --mode oauthCredentials are stored in ~/.discogs-sync/config.json.
# Verify authentication
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py whoami
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py whoami --output-format json# Add by artist/album name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist add --artist "Radiohead" --album "OK Computer" [--format Vinyl]
# Add by Discogs master ID (resolves to main release, or filters by --format)
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist add --master-id 3425
# Add by specific release ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist add --release-id 7890
# Remove by artist/album name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist remove --artist "Radiohead" --album "OK Computer"
# Remove by release ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist remove --release-id 7890
# List current wantlist
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist list [--search "QUERY"] [--format Vinyl] [--year 1997] [--no-cache] [--output-format json]Duplicate check: skips if the release is already in the wantlist (by release_id, master_id, or fuzzy artist+title match).
# Add by artist/album name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection add --artist "Miles Davis" --album "Kind of Blue" [--format Vinyl]
# Add by master ID or release ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection add --master-id 3425 [--folder-id 1]
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection add --release-id 7890 [--folder-id 1]
# Add a second copy of something already owned
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection add --release-id 7890 --allow-duplicate
# Remove by artist/album name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection remove --artist "Miles Davis" --album "Kind of Blue"
# Remove by release ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection remove --release-id 7890
# List collection (all folders)
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection list [--search "QUERY"] [--format CD] [--year 1959] [--folder-id 0] [--no-cache] [--output-format json]Duplicate check: by default, add skips if the release is already in the collection (by release_id, master_id, or fuzzy artist+title match). Use --allow-duplicate to add another copy.
# Search by artist/album name
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --artist "Radiohead" --album "OK Computer" [--format Vinyl] [--country US] [--output-format json]
# Search by master ID
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --master-id 3425 [--format Vinyl] [--country US]
# Search by specific release ID (skips master version scan)
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --release-id 7890
# Filter by price range and country
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --artist "Pink Floyd" --album "The Dark Side of the Moon" --format Vinyl --country US --min-price 10 --max-price 50 --currency USD
# Show detailed progress and condition grade price suggestions
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search --artist "Radiohead" --album "OK Computer" --verbose --detailsReturns release versions sorted by lowest price, with number of copies for sale. Single-item results are cached for 1 hour by lookup parameters. With --details, a separate details cache entry is used; if only the base cache is warm the tool fetches just the condition-grade price suggestions rather than re-running the full search. Pass --no-cache to force a live fetch (result is still written to cache).
For batch operations, pass a CSV or JSON file instead of individual --artist/--album flags.
# Sync wantlist from file (preview first with --dry-run)
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist sync albums.csv --dry-run
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py wantlist sync albums.csv [--remove-extras] [--threshold 0.7] [--output-format json]
# Sync collection from file
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py collection sync albums.csv [--folder-id 1] [--remove-extras] [--dry-run]
# Batch marketplace search from file
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py marketplace search albums.csv [--format Vinyl] [--country US] [--max-price 50] [--max-versions 25] [--output-format json]CSV format (header row required, artist and album required):
artist,album,format,year,notes
Radiohead,OK Computer,Vinyl,,Must have
Miles Davis,Kind of Blue,,1959,Original pressing
Nirvana,Nevermind,CD,1991,JSON format (array of objects with the same fields):
[
{"artist": "Radiohead", "album": "OK Computer", "format": "Vinyl"},
{"artist": "Miles Davis", "album": "Kind of Blue", "year": 1959}
]Format synonyms are normalized automatically: LP/record/12" → Vinyl, compact disc → CD, tape/mc → Cassette.
| Option | Applies To | Description |
|---|---|---|
--output-format | All | table (default) or json for machine-readable output |
--threshold | add, remove, search, sync | Match score threshold 0.0–1.0 (default: 0.7) |
--format | add, list, marketplace search | Filter by format: Vinyl, CD, Cassette (synonyms like LP, record are normalized) |
--year | list | Filter by release year (exact match) |
--folder-id | collection | Target folder (default: 1 for adds, 0 for reads) |
--allow-duplicate | collection add | Allow adding another copy of an album already in collection |
--country | marketplace search | Filter by country of pressing (exact match: US, UK, Germany, etc.) |
--release-id | marketplace search | Fetch stats for a specific release (bypasses master version scan) |
--min-price | marketplace | Minimum price filter |
--max-price | marketplace | Maximum price filter |
--currency | marketplace | Currency code (default: USD) |
--max-versions | marketplace | Max release versions to check per master (default: 25) |
--details | marketplace search | Include suggested prices by condition grade |
--no-cache | list, marketplace search | Bypass local cache; fresh results are still written back to cache |
--verbose | sync, marketplace search | Show detailed progress and API call logging |
--search | list | Filter results by artist or title (case-insensitive substring match) |
--dry-run | sync | Preview changes without modifying Discogs |
--remove-extras | sync | Remove wantlist/collection items not in the input file |
wantlist list / collection list:
Wantlist
┌────────────┬───────────┬─────────────┬─────────────┬────────┬──────┐
│ Release ID │ Master ID │ Artist │ Title │ Format │ Year │
├────────────┼───────────┼─────────────┼─────────────┼────────┼──────┤
│ 7890 │ 3425 │ Radiohead │ OK Computer │ Vinyl │ 1997 │
│ 1234 │ 1000 │ Miles Davis │ Kind of Blue│ Vinyl │ 1959 │
└────────────┴───────────┴─────────────┴─────────────┴────────┴──────┘
Total: 2marketplace search:
Marketplace Results
┌───────────┬────────────┬───────────┬─────────────┬────────┬──────────┬──────────────┐
│ Master ID │ Release ID │ Artist │ Title │ Format │ For Sale │ Lowest Price │
├───────────┼────────────┼───────────┼─────────────┼────────┼──────────┼──────────────┤
│ 3425 │ 7890 │ Radiohead │ OK Computer │ Vinyl │ 42 │ 25.99 USD │
│ 3425 │ 15432 │ Radiohead │ OK Computer │ Vinyl │ 18 │ 32.50 USD │
└───────────┴────────────┴───────────┴─────────────┴────────┴──────────┴──────────────┘add / remove result:
Sync Report
Total input: 1
Added: 1
Removed: 0
Skipped: 0
Errors: 0--output-format json)wantlist list / collection list:
{
"items": [
{
"release_id": 7890,
"master_id": 3425,
"title": "OK Computer",
"artist": "Radiohead",
"format": "Vinyl",
"year": 1997
}
],
"total": 1
}marketplace search:
{
"results": [
{
"master_id": 3425,
"release_id": 7890,
"title": "OK Computer",
"artist": "Radiohead",
"format": "Vinyl",
"country": "US",
"year": 1997,
"num_for_sale": 42,
"lowest_price": 25.99,
"currency": "USD"
}
],
"total": 1
}add / remove / sync report:
{
"summary": {
"total_input": 1,
"added": 1,
"removed": 0,
"skipped": 0,
"errors": 0
},
"actions": [
{
"action": "add",
"artist": "Radiohead",
"title": "OK Computer",
"release_id": 7890,
"master_id": 3425,
"reason": null,
"error": null
}
]
}add, remove, skip, or errorWhen using --artist and --album, the tool runs a multi-pass search to find the best Discogs match:
"artist album" as plain textEach result is scored 0.0–1.0: 40% artist similarity + 40% title similarity + 10% year match + 10% format match. Results below --threshold (default 0.7) are rejected. Lower the threshold for fuzzy matches.
When using --master-id or --release-id, no search is needed — the ID is used directly.
python3 /home/claw/.openclaw/workspace/skills/discogs_sync/discogs-sync.py auth once.--dry-run before any sync to preview what would change. This makes no API writes.--remove-extras flag on sync commands will remove items from your wantlist/collection that are not in the input file. Use with caution.collection add skips duplicates with a message. Use --allow-duplicate to add another copy.~/.discogs-sync/ alongside config.json: wantlist_cache.json, collection_cache.json, and marketplace_<type>_<hash>.json (plus …_details.json variants). Delete any of these files to manually clear a stale cache entry.~/.discogs-sync/config.json contain your Discogs tokens. On Linux/macOS, restrict permissions: chmod 600 ~/.discogs-sync/config.json. Revoke tokens at https://www.discogs.com/settings/developers if compromised.© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files in skills/discogs-sync of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Discogs Sync 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 |
|---|---|---|---|---|---|---|
| Discogs Sync this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.9k | Automated safety check: Pass | MIT | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Sap Rpt1secondsky/sap-skills | 462 | — | ~1.8k | Automated safety check: Notes | GPL-3.0 | |
| Replicate Paperbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Regression Insightrongxinzy/RongxinAI | 154 | — | ~839 | Automated safety check: Pass | MIT | |
| Meta Forest Binary Plotaipoch/medical-research-skills | 2k | — | ~2.1k | Automated safety check: Pass | MIT |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
secondsky/sap-skills
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets.
brycewang-stanford/Auto-Empirical-Research-Skills
Run a full 6-phase autonomous replication of a biomedical/epidemiology paper against UK Biobank or similar cohort data, producing Python and R scripts plus a validated replication report.
rongxinzy/RongxinAI
对 CSV/Excel 数据执行线性回归(OLS)或逻辑回归(Logistic),一键输出完整统计结果(包含回归系数、R²、p值、VIF等)和中文通俗解读。当用户提及回归分析、拟合模型、查看系数显著性、R方、p值、共线性(VIF),或使用关键词如 回归、regression、OLS、logit、拟合、显著性 时触发。
aipoch/medical-research-skills
Generate meta-analysis forest plots for binary classification data.
aAAaqwq/AGI-Super-Team
Process, transform, analyze, and report on CSV and JSON data files.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
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Add and remove albums from a Discogs wantlist or collection by artist and album name, master ID, or release ID. Discogs Sync is an agent skill from LeoYeAI/openclaw-master-skills. Add and remove albums from a Discogs wantlist or collection by artist and album name, master ID, or release ID.
Discogs Sync fits situations like: the user asks to add; remove a record from their Discogs wantlist; check whats on their wantlist; look up marketplace prices.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill discogs-sync -a claude-code`. Or copy the skill folder (skills/discogs-sync in LeoYeAI/openclaw-master-skills) into .claude/skills/discogs-sync in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill discogs-sync -a codex`. Or copy the skill folder (skills/discogs-sync in LeoYeAI/openclaw-master-skills) into .agents/skills/discogs-sync in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill discogs-sync -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discogs-sync, .gemini/skills/discogs-sync, .github/skills/discogs-sync and .opencode/skills/discogs-sync in your project.
Going by SKILL.md and its folder, Discogs Sync needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: discogs.com. This is read from the text; nothing was executed.
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.
Discogs Sync is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Discogs Sync: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Sap Rpt1 (secondsky/sap-skills, 462 stars), Replicate Paper (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Regression Insight (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.