Monitoring
Logging, metrics, and observability
MLOps Observability
by fmind
Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.
log-analysis
by incidentfox
Partition-first log analysis methodology. Use for log searches, error analysis, pattern finding across Datadog, CloudWatch, or Kubernetes logs.
anime-js
by Mindrally
Expert guidelines for building performant animations with Anime.js animation library
bootstrap
by Mindrally
Bootstrap development guidelines for responsive layouts, components, and utility-first styling.
analyzing-mlflow-trace
by mlflow
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
building-a-promotion-case
by liqiongyu
"Build a promotion case and produce a Promotion Case Pack (target role + timeline, ladder mapping, evidence log, impact narrative, manager alignment plan, sponsor/visibility map, submission-ready promo doc). Use for promotion packet, getting promoted, leveling up, career ladder, promotion committee. Category: Career."
cross-functional-collaboration
by liqiongyu
"Lead cross-functional collaboration by producing a Cross-Functional Collaboration Pack (mission charter, stakeholder/incentives map, roles & expectations contract, operating cadence, decision log, conflict + credit norms). Use for cross-functional collaboration, working with engineering, working with design, reducing execution friction."
career-transitions
by liqiongyu
"Plan and execute a career transition and produce a Career Transition Pack (progress metric + push/pull map, target archetypes, option scorecard, opportunity pipeline + outreach scripts, skills plan, 4–12 week experiment plan). Use for career change, career pivot, career transition, switching roles. Category: Career."
CoinGecko Price Skill
by 0xAxiom
No dependencies
trace-qa
by MooseGoose0701
Analyze and answer questions about agent execution traces. Use this skill when the user asks about a trace, wants to debug a failed agent run, understand what an agent did, analyze token usage or efficiency, or asks "what happened in trace X". Triggers: trace analysis, trace debugging, trace QA, execution review, agent run review.
balance-sheet
by OctagonAI
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
earnings-conf-call-sentiment
by OctagonAI
Analyze the overall sentiment and tone of management during earnings conference calls, including confidence levels, optimism indicators, and forward-looking language.
earnings-capital-allocation
by OctagonAI
Extract management's commentary on capital allocation, investment priorities, shareholder returns, and strategic investments from earnings call transcripts.
ratings-snapshot
by OctagonAI
Retrieve ratings snapshot with overall rating and key metric scores including DCF, ROE, ROA, Debt-to-Equity, P/E, and P/B for public companies. Use when screening stocks, comparing quality metrics, or quick fundamental assessment.
analyze-php-logs
by dykyi-roman
Parses and analyzes PHP application logs in PSR-3/Monolog, Laravel, Symfony, and plain error_log formats. Extracts exceptions, stack traces, request context, error frequency, and correlates related errors.
debug
by vltansky
This skill should be used when debugging frontend/UI bugs that need runtime evidence. USE THIS SKILL (instead of adding console.log) when you're about to: "add console.log and ask user to check", "open DevTools and tell me what you see", "reproduce the bug and share the output", "check the browser console". Triggers: "debug this", "fix this bug", "why isn't this working", "investigate this issue", "trace the problem", "figure out why X happens", "UI not updating", "state is wrong", "value is null/undefined", "click doesn't work", "modal not showing". Automates log collection server-side - you read logs directly, no user copy-paste needed.
simulation-validator
by HeshamFS
Validate simulations before, during, and after execution. Use for pre-flight checks, runtime monitoring, post-run validation, diagnosing failed simulations, checking convergence, detecting NaN/Inf, or verifying mass/energy conservation.
code-instrumentation-generator
by ArabelaTso
"Automatically instruments source code to collect runtime information such as function calls, branch decisions, variable values, and execution traces while preserving original program semantics. Use when users need to: (1) Add logging or tracing to code for debugging, (2) Collect runtime execution data for analysis, (3) Monitor function calls and control flow, (4) Track variable values during execution, (5) Generate execution traces for testing or profiling. Supports Python, Java, JavaScript, and C/C++ with configurable instrumentation levels."
abstract-trace-summarizer
by ArabelaTso
Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.
counterexample-generator
by ArabelaTso
Generate concrete counterexamples when formal verification, assertions, or specifications fail. Use this skill when debugging failed proofs, understanding why verification fails, creating minimal reproducing examples, analyzing assertion violations, investigating invariant breaks, or diagnosing specification mismatches. Produces concrete input values, execution traces, and state information that demonstrate the failure.
performance-profiling
by HeshamFS
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
historical-financial-ratings
by OctagonAI
Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.
portfolio-artifact
by ScientiaCapital
"Auto-extract GTME metrics from work sessions. Lines shipped, bugs fixed, PRs merged, cost per feature. Weekly digests and executive summaries. Use when: capture metrics, portfolio report, what did I ship, weekly summary."
techdebt
by jh941213
기술 부채 정리 - 중복 코드, console.log, 사용하지 않는 import 등 검사 및 정리. 세션 종료 전 사용 권장.