Productivity

tuyv Bundle

Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up rewarded ads. Don't use for "rewarded interstitial" ads.

tuyv Bundle

Validate a Composio CLI beta release and promote it to a stable release by dispatching the CLI binary workflow with an existing beta tag.

javimosch Skill

Email Auto-Reply Generator

javimosch Skill

> **CRITICAL RULES - READ BEFORE PROCESSING ANY EMAIL**

javimosch Skill

Farm Task Manager

javimosch Skill

Monitor, control, and orchestrate background Codex sessions. Use this skill to track progress, handle interruptions, and ensure task completion for long-running coding tasks.

tuyv Bundle

Trigger a CI binary build via workflow dispatch, monitor it, download the artifact, and test the CLI binary locally.

tuyv Bundle

Create and edit Obsidian Bases (.base files): Obsidian's native database layer for dynamic tables, card views, list views, filters, formulas, and summaries over vault notes. Triggers on: create a base, add a base file, obsidian bases, base view, filter notes, formula, database view, dynamic table, task tracker base, reading list base.

tuyv Bundle

Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up interstitial ads. Don't use for "rewarded interstitial" ads.

tuyv Bundle

Keep CLI docs, structure tests, and user-facing guidance in sync when commands or workflow docs change.

tuyv Bundle

Shell-first OpenAgents DS-first Data Market packaging and publication workflow using the deterministic packaging helper, autopilotctl, and the no-window headless runtime.

tuyv Bundle

Use when the user has a clear-enough task and wants it decomposed into batched worker sub-tasks before any code is written. Writes a task file under .hyperflow/tasks/ and auto-chains into /hyperflow:dispatch. Trigger with /hyperflow:scope, "plan this", "decompose this task", "break this down", "write the task file".

tuyv Bundle

Executes test tasks (label 'tests') through Todo to To Review with risk-based limits. Use for test task execution. Not for implementation tasks.

tuyv Bundle

Executes Story tasks in priority order (To Review, To Rework, Todo). Use when Story has planned tasks ready for implementation.

tuyv Bundle

Interactive slash command creator for Claude Code. Triggers when user mentions creating commands, slash commands, command templates, command arguments, or wants to build a new command workflow.

withoneai Skill

Notion through One

tuyv Bundle

Hyperflow planning phase. Use when a task is clear enough to decompose into batched steps before writing code — verbs like scope, decompose, "plan out", "break down", "plan this". Read-only with respect to source; writes a task file to .hyperflow/tasks/<slug>.md, then hands off to hyperflow-dispatch.

withoneai Skill

ProWorkflow through One

withoneai Skill

CalendarHero through One

withoneai Skill

EmailOctopus through One

withoneai Skill

Benchmark Email through One

withoneai Skill

Google Calendar through One

withoneai Skill

Outlook Calendar through One

withoneai Skill

EmailListVerify through One

withoneai Skill

Abstract Email Reputation through One

ndpvt-web Skill

Fine-grained multi-concept text control that avoids the compositionality trap where LLMs degrade when asked to be e.g. funny AND persuasive simultaneously. Use when: 'write a funny persuasive email', 'make this formal but warm', 'generate humorous and convincing copy', 'control tone on two axes at once', 'blend humor with authority in this text', 'write polite but assertive feedback'.

pku-yuangroup Bundle

Submit→poll .result()→harvest workflow for the user's SSH/SLURM hosts. Load once you've decided to dispatch remote.

pku-yuangroup Bundle

Reproducible Scanpy workflow for human or mouse 10x scRNA-seq and snRNA-seq count matrices: single-sample descriptive QC, clustering and annotation, or comparative donor-aware pseudobulk DE and Milo DA; plus preflight validation, optional explicitly requested Harmony, checkpoints, resume, and a checksummed analysis bundle. Use for cell-called GEX matrices, not FASTQ, CITE-seq, ATAC, Multiome, spatial, trajectory, communication, or CNV analysis.

pku-yuangroup Bundle

Deterministic protein gain-of-function mutation workflow: build single, double, and higher-order mutant libraries; merge ESM sequence-effect scores, structure metrics from ESMFold-class models, property/function scores; rank candidates; and decide whether to stop or start the next design round.

pku-yuangroup Bundle

Extracts UMIs and collapses reads to original molecules with umi_tools (directional dedup) or builds error-corrected single-strand/duplex consensus reads with fgbio. Use when the library has UMIs and accurate molecule counting or below-sequencer-floor error correction is needed - single-cell, low-input RNA-seq, targeted panels, and ctDNA/liquid-biopsy rare-variant detection. For UMI extraction during QC use fastp-workflow; do not dedup non-UMI bulk RNA-seq.

pku-yuangroup Bundle

Removes sequencing adapters from FASTQ reads with Cutadapt and Trimmomatic, including paired-end read-through, small-RNA 3' adapters, amplicon primers, and anchored/linked adapters. Use when FastQC shows adapter content climbing toward the 3' end, when inserts are shorter than the read length (small-RNA, cfDNA, FFPE), or before assembly/k-mer analysis. For all-in-one trimming use fastp-workflow; for quality/length filtering use quality-filtering.

pku-yuangroup Bundle

Filters reads by quality, length, N content, and complexity with Trimmomatic, fastp, and Cutadapt, including sliding-window trimming, per-read unqualified-base filtering, and 2-color poly-G removal. Use when reads have poor-quality tails, when an assembly or k-mer workflow needs clean input, or when a junk read subpopulation must be dropped. For adapter removal use adapter-trimming; for all-in-one preprocessing use fastp-workflow.

pku-yuangroup Bundle

Build local BLAST databases and run searches using NCBI BLAST+ command-line tools. Use when running >50 queries, building custom databases with -parse_seqids and -taxid, downloading prebuilt NCBI databases via update_blastdb.pl, choosing -task variants (megablast/dc-megablast/blastn/blastn-short), tuning soft/hard masking, scaling threads, or extracting hits with blastdbcmd. Encodes BLAST v5 vs v4 database format, taxonomy filtering, makeblastdb pitfalls.

pku-yuangroup Bundle

Analyzes pooled CRISPR screens with MAGeCK (Li et al 2014), covering count generation (mageck count), the RRA two-condition workflow (mageck test using alpha-RRA over per-sgRNA negative-binomial p-values), the MLE multi-condition workflow (mageck mle with explicit design matrix and beta-score output), normalization choice (median vs total vs control-sgRNA vs spike-in), sgRNA efficiency injection, paired-sample testing, time-course design, drug-screen versus dropout-screen design matrices, MAGeCKFlute and MAGeCK-VISPR downstream visualization, and decision logic for when to use MAGeCK vs JACKS / BAGEL2 / drugZ / Chronos. Use when running a fresh CRISPR screen analysis, picking RRA vs MLE for the experimental design, choosing a normalization method from QC signatures, debugging MLE convergence failure or NaN beta scores, comparing MAGeCK output across tools, or building a batch-aware multi-cell-line / multi-condition MLE design matrix.

ndpvt-web Skill

Apply the POPE (Privileged On-Policy Exploration) technique to solve hard reasoning problems by decomposing them with oracle-guided prefixes and transferring learned reasoning back to unguided attempts. Use when: 'help me solve this hard problem step by step', 'I'm stuck on this complex algorithm', 'break down this difficult reasoning task', 'guide me through this math/logic problem', 'use privileged hints to bootstrap a solution', 'scaffold a hard problem with partial solutions'.

ndpvt-web Skill

Structured time series question answering using the TSAQA six-task framework: anomaly detection, classification, characterization, comparison, data transformation, and temporal relationship analysis. Triggers: 'analyze this time series', 'detect anomalies in sensor data', 'compare these two time series', 'classify this signal', 'what trend does this data show', 'reorder these time segments'