Sponsored by

Find leads on Reddit on auto pilot

Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

analyzing-text-patterns Extract and analyze recurring patterns from log messages, span names, and event names using punctuation-based template discovery. Use when you need to understand log diversity, identify common message structures, detect unusual formats, or prepare for log parser development. Works by removing variable content and preserving structural markers.
rustomax/observe-community-mcp 1
time-series-analysis Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, bin duration options (1h, 5m, 1d), options(bins:N) for controlling bin count, and understanding temporal output columns (_c_valid_from, _c_valid_to, _c_bucket). Returns multiple rows per group for time-series visualization. For single summaries, see aggregating-event-datasets skill.
rustomax/observe-community-mcp 1
detecting-anomalies Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier detection (Z-score, IQR), threshold-based alerts, rate-of-change detection with window functions, and moving average baselines. Choose pattern based on data distribution and anomaly type.
rustomax/observe-community-mcp 1
aggregating-gauge-metrics Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.
rustomax/observe-community-mcp 1
aggregating-event-datasets Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count, sum, avg, percentile), and topk for top N results. Returns single summary row per group across entire time range. For time-series trends, see time-series-analysis skill.
rustomax/observe-community-mcp 1
field-extraction-parsing Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSONPath for navigating parsed structures. Use when you need to convert raw log text into queryable fields for analysis, filtering, or aggregation.
rustomax/observe-community-mcp 1
investigating-textual-data
rustomax/observe-community-mcp 1
window-functions-deep-dive Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing rows to neighbors, ranking within partitions, calculating rate of change, or computing time-based moving windows. CRITICAL - OPAL uses window() function wrapper, NOT SQL OVER clause.
rustomax/observe-community-mcp 1
filtering-event-datasets Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean logic, and limit for sampling results. Does NOT cover aggregation (see aggregating-event-datasets skill).
rustomax/observe-community-mcp 1
subquery-patterns-and-union Use OPAL subquery syntax (@labels) and union operations to combine multiple datasets or time periods. Essential for period-over-period comparisons, multi-dataset analysis, and complex data transformations. Covers @label <- @ syntax, timeshift for temporal shifts, union for combining results, and any_not_null() for collapsing grouped data.
rustomax/observe-community-mcp 1
analyzing-tdigest-metrics Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine pattern with align + m_tdigest() + tdigest_combine + aggregate. For simple metrics (counts, averages), see aggregating-gauge-metrics skill.
rustomax/observe-community-mcp 1
analyzing-apm-data Monitor application performance using the RED methodology (Rate, Errors, Duration) with Observe. Use when analyzing service health, investigating errors, tracking latency, or building APM dashboards. Covers when to use metrics vs spans, combining RED signals, and troubleshooting workflows. Cross-references working-with-intervals, aggregating-gauge-metrics, and analyzing-tdigest-metrics skills.
rustomax/observe-community-mcp 1
working-with-intervals Work with Interval datasets (time-bounded data) using OPAL. Use when analyzing data with start and end timestamps like distributed traces, batch jobs, or CI/CD pipeline runs. Covers duration calculations, temporal filtering, and aggregating by time properties. Intervals are immutable completed activities with two timestamps, distinct from Events (single timestamp) and Resources (mutable state).
rustomax/observe-community-mcp 1
shirushi Document ID management for Git repositories. Validates, assigns, and tracks immutable doc_ids across Markdown/YAML files. Use when working with doc_id, document IDs, "@see docid" references, document integrity validation, or shirushi commands.
CAPHTECH/shirushi 1
naming-reviewer Expert code naming review and refactoring. Reviews variables, functions, and classes to improve readability and maintainability using master-level naming principles. Use when: (1) User asks to review naming/variable names in code, (2) User wants to improve code readability, (3) User requests naming suggestions or refactoring, (4) User mentions code quality or maintainability concerns related to naming, (5) User asks to apply best practices to naming
luohaha/oh-my-skills
pr-description Generate comprehensive pull request descriptions that help reviewers understand code changes. Use when the user asks to "generate PR description", "create PR summary", "write PR intro", or needs help documenting their code changes for review. Analyzes git diffs or specified files to create structured descriptions covering why changes were made and what was implemented.
luohaha/oh-my-skills
code-commenter Add detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainability". Supports C++, Python, Java, JavaScript, Go, Rust, SQL.
luohaha/oh-my-skills
generate-feature-spec Generates features_spec.txt files for use with auto-code extension mode. Analyzes existing codebase and creates structured feature specifications based on user requirements.
AhamSammich/auto-code
generate-spec Generates app_spec.txt specification files from codebases. Use when you need to create specification documents, analyze code structure, document project architecture, or generate comprehensive project overviews in XML format.
AhamSammich/auto-code
software-security A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities. Use this skill when writing, reviewing, or modifying code to ensure secure-by-default practices are followed.
project-codeguard/rules 399
file-organizer Intelligently organizes files and directories by type, project, date, or custom criteria
onlyoneaman/agent-skills 3
api-tester Makes HTTP requests to any URL and returns the response (supports GET, POST, PUT, PATCH, DELETE)
onlyoneaman/agent-skills 3
code-review Reviews code for best practices, bugs, security issues, and provides improvement suggestions
onlyoneaman/agent-skills 3
git-helper Assists with git workflows, commit messages, branch strategies, and resolving common git issues
onlyoneaman/agent-skills 3