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General-Purpose Claude Skills (Page 425 of 2095)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

125,692 skills · updated 2026-10-25 · showing 25441–25500 of 125,692 by quality score

Sub-topics:Ai Tooling (5,608)Automation (5,509)Integrations (4,833)Business Ops (3,213)Design Creative (2,312)Orchestration Frameworks (2,152)Agents Skills Meta (2,094)Legal Compliance (1,836)

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Reviews checkout flow for friction, bundling, subscription optimization, and AOV maximization.
Analyze and produce a checkout optimization with structured process, quality checks, and system integration
Checkout.com integration. Manage data, records, and automate workflows. Use when the user wants to interact with Checkout.com data.
Save, resume, or list session checkpoints for long-running work. Captures current state (branch, ticket, todo, recent activity) so you can resume after interruptions or context…
Robust workflow checkpoint and resume. Handles session interruption, state recovery, and safe resume across all workflow phases.
每完成一个 plan 步骤自动 git commit,记录到 .ddt/checkpoints.log;支持 git revert 回滚到任意 checkpoint。auto-loaded by build-api / build-web / fix 等 IMPLEMENT phase。DDT 步骤级 git commit 范式。
Capture session context into a comprehensive structured checkpoint for cross-session continuity
Distills session context into a structured checkpoint for cross-session continuity
Create checkpoints from receipt photos using QR scanning, e-Kasa API, and GPS extraction (10-40s) — from general/general-misc
Create checkpoints from receipt photos using QR scanning, e-Kasa API, and GPS extraction (10-40s) — from majiayu000/claude-skill-registry
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.
LLM-assisted human-in-the-loop review. Make sense of a change, focus attention where it matters, test.
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion.
Human interaction protocol with automation-first rule. Defines checkpoint types and when to use them.
Slash command that reads checkpoint commit history to recover context for new sessions. Queries Git history for checkpoint commits and summarizes what was implemented, what…
Persist progress for long-running jobs (batched LLM calls, large ingestions, multi-hour syncs) so that a context reset, crash, or interrupt doesn't lose work.
Saves session progress to a state file, naming it automatically from the session's work. Usage: /checkpoint-save [optional_name]
Use when training neural networks on MS/MS spectra (or similar scientific data) where you need to preserve model states that improve validation performance.
Create a resumable checkpoint file for another agent to continue work later. Use when user asks to save progress, create handoff notes, checkpoint current state, or leave a resume…
Build resumable state-machine workflows with checkpoint patterns, progress preservation, and automatic recovery for complex multi-phase operations that need to survive…
Run long or failure-prone Claude Code tasks as bounded, resumable loops with a durable state machine, attempt budget, and verification evidence checkpoint.
Save session context to agent configuration files or create full checkpoint files. Supports three modes: session history (default), full checkpoint (--full), and skill analysis…
Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points
Checkpoint multi-node training runs so a save costs seconds instead of minutes and a resume reproduces the run exactly.
Checkr integration. Manage data, records, and automate workflows. Use when the user wants to interact with Checkr data.
Read and act on repository checks that run automatically after each agent turn. Use when verifying your changes didn't break anything, when the user asks "did checks pass", before…
Check and fix Checkstyle violations in jhelm modules
Use when configuring Checkstyle for Java projects with XML config, custom checks, properties, and module setup.
Use when developing custom Checkstyle checks, filters, and plugin integrations for project-specific Java code standards.
Use when applying Checkstyle built-in checks for Java code including naming conventions, code metrics, and suppressions.
Use when you have executed a complex multi-step processing pipeline (e.g., ENCODE Hi-C uniform processing pipeline) and need to confirm that the generated output files match a…
Manage Checkvist tasks, checklists, and notes using checkvist-cli. Use when the user wants to work with Checkvist.com data, including viewing/creating/updating checklists,…
Cheddar integration. Manage data, records, and automate workflows. Use when the user wants to interact with Cheddar data.
Builds configurable data extraction pipelines using Cheerio for server-side DOM parsing with CSS selector chains.
Parses static HTML using Cheerio's jQuery-like API for fast server-side DOM traversal and data extraction.
Cheerio is a long-running Node.js library for parsing and manipulating HTML and XML with a jQuery-like API.
Expert guidance for HTML/XML parsing using Cheerio in Node.js with best practices for DOM traversal, data extraction, and efficient scraping pipelines.
Create, browse, accept, and complete on-chain work requests. Agents can act as requesters (posting jobs) or providers (completing work). Uses ETH/stablecoin escrow on Base network.
DuckDB-powered knowledge management system for fast retrieval across 22+ entity types (projects, contacts, tools, workflows, decisions, etc.).
Chef integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chef data.
Use when cooking or planning meals, troubleshooting recipes, learning culinary techniques (knife skills, sauces, searing), understanding food science (Maillard reaction,…
Berliner Start-up-HR: Briefing an Chefs/Chefinnen ohne Datenschutzbruch: Ampel, aggregierte Daten, erforderliche Details und klare Entscheidungsvorlage.
Chef InSpec integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chef InSpec data.
AI เชฟครัวร้านอาหาร — menu development, kitchen brigade, mise en place, food cost, seasonal menu, HACCP, Thai culinary context
Generate 2D structure images and interactive 3D viewers from chemical names or SMILES. Supports PNG/SVG output for 2D and 3Dmol.js HTML viewers for 3D conformers.
Use when when you have received chemical annotations from GNPS spectral library matching workflow and need to assess their reliability before downstream analysis (e.g., chemical…
Use when you have selected a subset of public tandem MS files from ReDU/MassIVE that have been processed through GNPS spectral library matching, and you need to organize their…
Use when you have BioTransformer-predicted metabolite structures (in SMILES or InChI format) and need to identify which known compounds in public databases match those structures.
Use when a task needs the judgment of a Chemical Engineer — closing a mass/energy balance around a reactor or separation unit, evaluating scale-up risk from bench to pilot to…
Use when a task needs the judgment of a Chemical Equipment Operator/Tender — deciding whether to continue or stop a reagent addition when reactor temperature exceeds its expected…
Use when you have processed MSI peak data (in rMSIproc format) and need to distinguish matrix-related ions from analyte signals.
Use when you have retrieved chemical formulae and metadata from two or more of HMDB, ChEMBL, or PubChem and need to merge them into a single searchable database without formula…
Use when when you have a loaded metabolite database (e.g., hmdb_compounds.p pickle file) and need to constrain the chemical space to a specific instrumental m/z range (e.
Use when you need to feed chemical formulas into a neural network-based formula scorer (such as MIST-CF) that must learn data-dependent representations of formula structure and…
Use when when running a ViMMS Environment simulation with save_eval flag enabled and you need to correlate fragmentation events in the output mzML file back to their originating…
Use when when you have raw GC-MS output (CSV with columns: Component.RT, Base.Peak.MZ, Component.Area, Compound.Name, Match.Factor, File.
Use when when you have a list of chemically known compounds and need to validate that an MS processing pipeline (e.g., mzExacto) correctly retrieves their characteristic m/z,…
Use when when you have query chemicals identified by GC-MS (with Match.Factor values) and need to verify structural similarity against a reference chemical library to confirm…
Use when after raw GC-MS CSV input has been parsed into separate matrices (Component.RT, Base.Peak.MZ, Compound.Name, Match.Factor, Component.Area) and you need to enrich…
Use when after spreadOut() has converted raw CSV peak data into a structured list, when you have one or more Compound.Name entries from GC-MS that may be ambiguous, non-canonical,…
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