Systematic methodology for identifying, categorizing, and mitigating software project risks before implementation
Score 70/100
Resolve a stable project root first, then load local skills relative to that scope before combining them with other sources.
Score 70/100
Project introspection — detect languages, frameworks, database, structure, scale, auth, CI/CD
Score 70/100
Worktree-first dev environment manager for issues, PRs, and features with optional tmux sessions
Score 70/100
Transform project briefs into testable specifications with user stories, acceptance criteria, and measurable outcomes.
Score 70/100
Cross-framework project status aggregator — discovers status contributors from installed frameworks and project-local overrides, runs declarative detection, and produces a unified…
Score 70/100
Organize project folders following industry best practices. Use when setting up new projects, reorganizing codebases, or when folder structure becomes messy.
Score 70/100
Scan project root for file tree, dominant languages, and LOC estimate. Produces structured baseline context for Stage 2 LLM synthesis during bootstrap.
Score 70/100
Simulate project outcomes with variable modeling, risk assessment, and resource optimization scenarios.
Score 70/100
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
Score 70/100
Entwerfe einen Projekt-basierten Lern (PBL) Auftrag mit einer Fragestellung, Meilensteinen und Beurteilungs-Kriterien.
Score 70/100
Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability
Score 70/100
Resolves Prometheus alerts by querying the /api/v1/alerts and /api/v1/query_range endpoints for metric time series analysis.
Score 70/100
Routes and escalates Prometheus AlertManager notifications based on severity and label matchers. Integrates with PagerDuty, Opsgenie, and Slack webhook APIs for multi-channel…
Score 70/100
Creates and validates Prometheus alerting rules using PromQL expressions and the Prometheus HTTP API.
Score 70/100
Uses the Prometheus HTTP API v1 and PromQL to auto-generate alerting rules from metric baselines. Integrates with Alertmanager API for routing configuration and PagerDuty Events…
Score 70/100
Tests Prometheus alerting rules against historical metrics using promtool and the Prometheus HTTP API query_range endpoint.
Score 70/100
Execute structured runbook procedures triggered by Prometheus AlertManager webhooks. Queries PromQL metrics via the Prometheus HTTP API for automated incident diagnosis and…
Score 70/100
Automates incident response for Prometheus alerts using PromQL queries, Alertmanager API, and Grafana dashboards. Maps alerts to diagnostic runbooks with remediation steps.
Score 70/100
Links Prometheus alerting rules to operational runbooks by parsing AlertManager configurations and PrometheusRule CRDs.
Score 70/100
Tunes Prometheus alerting rules using the Prometheus HTTP API and PromQL query analysis. Reduces alert fatigue by analyzing firing history, adjusting thresholds via…
Score 70/100
Connects to Prometheus AlertManager API to query active alerts, silences, and alert groups. Parses PromQL alert rules and suggests runbook actions.
Score 70/100
Bridges Prometheus Alertmanager notifications to Microsoft Teams, Discord, and Telegram using adaptive card templates and PromQL-based alert correlation.
Score 70/100
Configures and manages Prometheus AlertManager routing trees and silences via the AlertManager HTTP API.
Score 70/100
Validates Prometheus recording and alerting rules using promtool check rules, analyzes Alertmanager routing trees for notification gaps, and tests alert expressions against live…
Score 70/100
Generates Prometheus alerting rules and AlertManager routing configs using PromQL validation via the Prometheus HTTP API.
Score 70/100
Analyzes Prometheus alerting rules and AlertManager configuration to reduce alert fatigue. Uses PromQL query analysis and historical firing patterns to suggest rule consolidation…
Score 70/100
Generates and validates Prometheus alerting rules and AlertManager routing configurations using the Prometheus HTTP API.
Score 70/100
Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.
Score 70/100
Expert skill for Prometheus metrics and Grafana dashboards. Write and validate PromQL queries, generate Grafana dashboard JSON, create alerting and recording rules, analyze metric…
Score 70/100
Configuration de Prometheus et Grafana pour le monitoring d'applications et d'infrastructure — métriques, alertes, dashboards.
Score 70/100
Constructs Prometheus alerting rules using PromQL expressions with proper label matchers, aggregation operators, and for-duration thresholds.
Score 70/100
Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.
Score 70/100
Promote the latest pre-release to a stable release by creating a release branch, bumping the version, and pushing.
Score 70/100
Use when publishing a SKILL.md-style agent skill across uGig, sh1pt, GitHub/gists, and follow-on skill marketplaces such as ClawHub, Goose, LobeHub, Kilo, Skillstore, FreeMyGent,…
Score 70/100
Generates Promoted In-App Purchase setup with StoreKit 2 product configuration, paywall integration, and App Store product page display.
Score 70/100
Generate comprehensive synthetic relational data for any specified subject with multiple normalized CSV files maintaining referential integrity
Score 70/100
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing…
Score 70/100
Use to maximize prompt cache hit rates across LLM providers by enforcing a stable instruction loading order and file size discipline.
Score 70/100
Conçoit des prompts avec raisonnement en chaîne pour des tâches complexes nécessitant de la logique multi-étapes.
Score 70/100
Package prompt, identity, and runtime constraints into one explicit handoff so child agents start with the right context and no accidental leakage.
Score 70/100
Techniques and templates for creating optimal prompts following Anthropic conventions
Score 70/100
Diagnostique pourquoi un prompt produit des résultats indésirables et propose des corrections. À utiliser quand le LLM hallucine, ignore des instructions, donne un mauvais format…
Score 70/100
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)
Score 70/100
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent…
Score 70/100
Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval…
Score 70/100
Analyze and improve plugin prompts, skill definitions, and command instructions for clarity, safety, and effectiveness.
Score 70/100
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
Score 70/100
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat.
Score 70/100
Optimize and manage AILANG teaching prompts for maximum conciseness and accuracy. Use when user asks to create/update prompts, optimize prompt length, or verify prompt accuracy.
Score 70/100
Generates optimized prompts for any AI tool. Use when writing, fixing, improving, or adapting a prompt for LLM, Cursor, Midjourney, image AI, video AI, coding agents, or any other…
Score 70/100
Construit un mega-prompt complet et structuré à partir d'un objectif simple. À utiliser quand l'utilisateur veut créer un prompt complexe et puissant de zéro.
Score 70/100
Use when the user wants to install, verify, search, or troubleshoot the local prompt-memory archive for Codex or Claude Code prompts.
Score 70/100
Оценка и оптимизация промптов по методологии PQS и экономике API-вызовов LLM. Рассчитывает токены, стоимость вызова, вероятность retry и выдаёт переписанный промпт с…
Score 70/100
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue.
Score 70/100
Analyse et améliore un prompt existant pour obtenir de meilleurs résultats avec un LLM. À utiliser quand l'utilisateur a un prompt qui ne donne pas les résultats voulus ou veut…
Score 70/100
Flags prompt-engineering bugs in user-supplied prompts without rewriting them. Use when the user says "lint my prompt", "review this prompt", "improve this prompt", "what's wrong…
Score 70/100
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks.
Score 70/100
Use proactively after completing any task to suggest logical next steps. Also use when the user seems unsure what to do next, says "what now," "what else," "what should I do,"…
Score 70/100
Conçoit des system prompts robustes pour applications, agents IA ou chatbots personnalisés. À utiliser quand l'utilisateur développe un chatbot, un agent ou une app utilisant un…
Score 70/100