Developing Funboost Mixin
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
Query and analyze Claude Code observability data (metrics, logs, traces).
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry observability-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/observability-analyzer .claude/skills/observability-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .claude/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry observability-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analysis/observability-analyzer .agents/skills/observability-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .agents/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry observability-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analysis/observability-analyzer .cursor/skills/observability-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .cursor/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/analysis/observability-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry observability-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analysis/observability-analyzer .gemini/skills/observability-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .gemini/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry observability-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analysis/observability-analyzer .github/skills/observability-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .github/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry observability-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analysis/observability-analyzer .opencode/skills/observability-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "observability-analyzer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/analysis/observability-analyzer into .opencode/skills/observability-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
observability-analyzerQuery and analyze Claude Code observability data (metrics, logs, traces).
Observability Analyzer is an agent skill from majiayu000/claude-skill-registry. Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in DevOps & Cloud, covering Observability, Subagents and Monitoring and alerting. It works with Prometheus and OpenTelemetry. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are logql, bash and promql).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Observability Analyzer loads about 1.6k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 353 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 353 words, ~1,636 tokens.
.claude/skills/observability-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Query Claude Code telemetry and generate insights from metrics, logs, and traces. Works with both default OTEL telemetry and enhanced hook-based telemetry.
| Source | Job Name | Contains |
|---|---|---|
| Default OTEL | claude_code | API metrics, token usage, costs |
| Enhanced Hooks | claude_code_enhanced | Sessions, conversations, tools, subagents |
query-metrics <promql>Execute PromQL query against Prometheus.
query-metrics 'sum(claude_code_token_usage)[7d]'query-logs <logql>Execute LogQL query against Loki.
query-logs '{job="claude_code_enhanced", event_type="tool_call"} | json' --since 24hanalyze-errorsDetect and group error patterns from enhanced telemetry.
{job="claude_code_enhanced", event_type="tool_result", status="error"} | jsonOutput: Error types, frequencies, affected tools, recommendations.
analyze-performanceIdentify slow operations and response sizes.
{job="claude_code_enhanced", event_type="tool_result"} | json | response_length > 50000Output: Large responses, estimated token costs, slow patterns.
analyze-costsCalculate token usage from content size estimates.
sum by (repo) (sum_over_time({job="claude_code_enhanced", event_type="context_utilization"} | json | unwrap estimated_session_tokens [24h]))Output: Token estimates by repo, session costs, projections.
analyze-toolsTool usage statistics and sequences.
sum by (tool) (count_over_time({job="claude_code_enhanced", event_type="tool_call"} | json [24h]))Output: Call frequency, success rates, tool sequences, common patterns.
analyze-sessionsSession lifecycle and duration analytics.
{job="claude_code_enhanced", event_type="session_end"} | jsonOutput: Session durations, turn counts, tools per session, termination reasons.
analyze-conversationsConversation and prompt analytics.
sum by (pattern) (count_over_time({job="claude_code_enhanced", event_type="user_prompt"} | json [24h]))Output: Prompt patterns (question/debugging/creation/ultrathink), turn distribution.
analyze-subagentsSubagent/Task tool usage.
{job="claude_code_enhanced", event_type="tool_call", tool="Task"} | jsonOutput: Subagent types used, completion rates, parallel execution patterns.
analyze-skillsSkill invocation analytics.
sum by (skill_name) (count_over_time({job="claude_code_enhanced", event_type="skill_usage"} | json [24h]))Output: Most used skills, skill usage by repo, trends.
analyze-contextContext window utilization.
{job="claude_code_enhanced", event_type="context_utilization"} | json | context_percentage > 50Output: High utilization sessions, compaction events, token efficiency.
analyze-reposRepository/project activity.
sum by (repo, tool) (count_over_time({job="claude_code_enhanced", event_type="tool_call"} | json [24h]))Output: Activity per repo, tool usage by project, branch patterns.
generate-reportComprehensive analysis report (all dimensions). Output: Markdown report with errors, performance, costs, sessions, conversations, tools.
# All events (last hour)
{job="claude_code_enhanced"} | json
# Session analytics
{job="claude_code_enhanced", event_type="session_end"} | json | duration_seconds > 300
# Tool errors
{job="claude_code_enhanced", event_type="tool_result", status="error"} | json
# High context usage
{job="claude_code_enhanced", event_type="context_utilization"} | json | context_percentage > 75
# Subagent spawns
{job="claude_code_enhanced", event_type="tool_call", tool="Task"} | json
# Skill invocations
{job="claude_code_enhanced", event_type="skill_usage"} | json
# Prompt patterns
{job="claude_code_enhanced", event_type="user_prompt"} | json | pattern="ultrathink"
# Tool sequences
{job="claude_code_enhanced", event_type="tool_call"} | json | line_format "{{.tool_name}} → {{.previous_tool}}"
# Context compaction
{job="claude_code_enhanced", event_type="context_compact"} | json
# Permission requests
{job="claude_code_enhanced", event_type="permission_request"} | json# Total token usage (7 days)
sum(increase(claude_code_token_usage[7d]))
# Error rate by tool
sum by (tool_name) (rate(claude_code_tool_result{status="failure"}[1h]))
# P95 tool latency
histogram_quantile(0.95, claude_code_tool_duration_bucket)
# Daily costs
sum(increase(claude_code_cost_usage[24h]))| Event Type | Description | Key Fields |
|---|---|---|
session_start | Session initialization | source, permission_mode |
session_end | Session termination | duration_seconds, turn_count, tools_used |
user_prompt | User message submitted | pattern, prompt_length, estimated_tokens |
tool_call | Tool invocation | tool_name, tool_details, sequence_position |
tool_result | Tool completion | status, response_length, is_error |
skill_usage | Skill invoked | skill_name |
context_utilization | Token estimate | estimated_session_tokens, context_percentage |
context_compact | Compaction event | trigger (manual/auto) |
subagent_complete | Task agent finished | total_subagents |
permission_request | Permission dialog | notification_type |
notification | System notification | notification_type |
Access: http://localhost:3000 (admin/admin)
scripts/query-prometheus.sh - PromQL query helperscripts/query-loki.sh - LogQL query helperscripts/analyze-errors.sh - Error analysis automationscripts/analyze-sessions.sh - Session analyticsscripts/generate-report.sh - Full analysis report© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/analysis/observability-analyzer of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 000116a
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Observability Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Observability Analyzer this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Developing Funboost Mixinydf0509/funboost | 892 | — | ~2.1k | Automated safety check: Pass | None | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.3k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| Observability Architecturemajiayu000/litellm-rs | 116 | — | ~1.3k | Automated safety check: Pass | MIT |
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
majiayu000/litellm-rs
LiteLLM-RS Observability Architecture. An agent skill from majiayu000/litellm-rs.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
majiayu000/claude-skill-registry
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis.
Works with
Categories
Query and analyze Claude Code observability data (metrics, logs, traces). Observability Analyzer is an agent skill from majiayu000/claude-skill-registry. Query and analyze Claude Code observability data (metrics, logs, traces).
Observability Analyzer fits situations like: analyzing performance; tasks that involve Observability; tasks that involve Subagents.
Run `npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a claude-code`. Or copy the skill folder (skills/analysis/observability-analyzer in majiayu000/claude-skill-registry) into .claude/skills/observability-analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a codex`. Or copy the skill folder (skills/analysis/observability-analyzer in majiayu000/claude-skill-registry) into .agents/skills/observability-analyzer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill observability-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observability-analyzer, .gemini/skills/observability-analyzer, .github/skills/observability-analyzer and .opencode/skills/observability-analyzer in your project.
SKILL.md names no scripts, command-line tools or credentials: Observability Analyzer is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Observability Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Observability Analyzer: Developing Funboost Mixin (ydf0509/funboost, 892 stars), Archestra Dev Observability (archestra-ai/archestra, 4.3k stars), Frontmcp Observability (agentfront/frontmcp, 146 stars) and Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 971 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.