39 KiB
External AI agent skills — night-auditor
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Tiers: core = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; adjacent =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
pipeline/p5_enrich_ai_skills.py on 2026-07-14.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
f6656c1, retrieved 2026-07-14) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
docx |
adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | source |
pdf |
adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
xlsx |
adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | source |
Source: wshobson/agents
- Repository: https://github.com/wshobson/agents (commit
6fd3247, retrieved 2026-07-14) - License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
file-conversion |
adjacent | Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or … | source |
Source: a5c-ai/babysitter
- Repository: https://github.com/a5c-ai/babysitter (commit
44a5d58b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
translation-management |
core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | source |
linker-script |
core | GNU linker script generation and optimization for embedded systems. Expert skill for memory layout definition, section placement, multi-image linking, and memory protection configuration. | source |
queuing-analyzer |
core | Queuing theory analysis skill for analytical evaluation of waiting line systems. | source |
three-statement-model-builder |
core | Integrated three-statement financial model builder linking income statement, balance sheet, and cash flow statement with circular reference handling | source |
financial-dashboard-generator |
core | Automated financial dashboard and KPI visualization skill with executive reporting capabilities | source |
embedded-docs |
adjacent | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | source |
growing-outside-in-systems |
adjacent | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | source |
rlhf-systems |
adjacent | Human-feedback-driven model optimization — preference data collection, reward modeling, policy updates, and alignment evaluation. | source |
Source: affaan-m/everything-claude-code
- Repository: https://github.com/affaan-m/everything-claude-code (commit
ed38744, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
agentic-os |
core | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | source |
content-engine |
core | Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly … | source |
mle-workflow |
adjacent | Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks. | source |
Source: awrshift/claude-memory-kit
- Repository: https://github.com/awrshift/claude-memory-kit (commit
4039315, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
close-day |
core | End-of-day audit ritual — auto-detect missed working days (commits with no daily file) and backfill them, synthesize today into a daily log, audit patterns against MEMORY.md and existing concepts/rules, propose promotions verbally, write … | source |
Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills (commit
85bf545, retrieved 2026-07-14) - License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
system-profile |
adjacent | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | source |
Source: davila7/claude-code-templates
- Repository: https://github.com/davila7/claude-code-templates (commit
fa79251, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
lint-and-validate |
core | Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis. | source |
ai-agents-architect |
core | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | source |
gcc |
core | Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for … | source |
deadline-prep |
core | Generate a structured demo outline from your session's change log and git history. Reads .claude/critical_log_changes.csv and git log to produce presentation-ready talking points for end-of-day demos, standups, or delivery deadlines. | source |
it-operations |
adjacent | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | source |
langsmith-observability |
adjacent | LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications. | source |
phoenix-observability |
adjacent | Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights. | source |
Source: giuseppe-trisciuoglio/developer-kit
- Repository: https://github.com/giuseppe-trisciuoglio/developer-kit (commit
306f428, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
memory-md-management |
adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | source |
Source: gooseworks-ai/goose-skills
- Repository: https://github.com/gooseworks-ai/goose-skills (commit
94ec916, retrieved 2026-07-14) - License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
ad-angle-miner |
core | Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle … | source |
Source: heshengtao/super-agent-party
- Repository: https://github.com/heshengtao/super-agent-party (commit
181588d, retrieved 2026-07-14) - License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
officeCLI |
adjacent | Create, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents. | source |
Source: jabrena/plinth
- Repository: https://github.com/jabrena/plinth (commit
065eae8, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
804-regulations-eu-nis2 |
adjacent | Use when reviewing, designing, or modifying Java enterprise systems that may support essential or important entities, critical-sector services, managed service providers, supply-chain dependencies, or cybersecurity incident escalation … | source |
Source: jeffallan/claude-skills
- Repository: https://github.com/jeffallan/claude-skills (commit
e8be415, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
sre-engineer |
adjacent | Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining … | source |
Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: https://github.com/jeremylongshore/claude-code-plugins-plus-skills (commit
e112938a, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
navan-core-workflow-b |
core | Manage Navan expense reporting, transaction data, and ERP synchronization. Use when building expense pipelines, automating approval workflows, or syncing transactions to accounting systems. Trigger with "navan expense management", "navan … | source |
fondo-prod-checklist |
core | Execute Fondo production readiness checklist for year-end tax filing, R&D credit claims, and board-ready financial reporting. Trigger: "fondo production", "fondo tax filing ready", "fondo year-end checklist". | source |
fondo-ci-integration |
core | Automate financial reporting workflows that complement Fondo with CI/CD pipelines for expense tracking, budget alerts, and financial data validation. Trigger: "fondo CI", "fondo automation", "fondo financial alerts". | source |
fondo-core-workflow-a |
core | Execute Fondo primary workflow: monthly bookkeeping close and financial reporting. Use when managing month-end close, reviewing financial statements, or preparing for board meetings and fundraising. Trigger: "fondo bookkeeping", "fondo … | source |
fondo-reference-architecture |
core | Reference architecture for startup financial operations using Fondo as the bookkeeping backbone with complementary tools for banking, payroll, and reporting. Trigger: "fondo architecture", "startup finance stack", "fondo integration … | source |
fondo-debug-bundle |
core | Collect diagnostic information for Fondo support including integration status, transaction discrepancies, and financial data reconciliation issues. Trigger: "fondo debug", "fondo support", "fondo diagnostic", "fondo reconciliation". | source |
podium-rate-limit-survival |
core | Survive the rate-limit failure modes that crater production Podium integrations — cascading 429s that burn the daily quota by lunch, ignored Retry-After hints, silent daily-quota breaches, per-endpoint budget exhaustion, end-of-day … |
source |
twinmind-reference-architecture |
adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | source |
memorystore-config |
adjacent | Configure memorystore config operations. Auto-activating skill for GCP Skills. Triggers on: memorystore config, memorystore config Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like … | source |
stackblitz-rate-limits |
adjacent | WebContainer resource limits: memory, CPU, file system size, process count. Use when working with WebContainers or StackBlitz SDK. Trigger: "webcontainer limits". | source |
Source: Leonxlnx/taste-skill
- Repository: https://github.com/Leonxlnx/taste-skill (commit
b177427, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
brandkit |
adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | source |
Source: mohitagw15856/pm-claude-skills
- Repository: https://github.com/mohitagw15856/pm-claude-skills (commit
876fa30, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
voice-of-customer-program |
core | Stand up a Voice of Customer (VoC) program that turns feedback into action. Use when asked to build a VoC program, design a customer feedback loop, consolidate feedback sources, or set up a closed-loop feedback process. Produces a VoC … | source |
voice-agent-design |
core | Design a voice AI agent for phone or in-app conversations — call flows, interruption handling, escalation to humans, and the metrics that catch a bad voice experience. Use when asked to design a voice agent, automate a phone line, spec an … | source |
dispute-letter |
core | Write a letter to dispute an incorrect charge, bill, or record. Use when asked to dispute a credit-card charge, contest a bill or invoice, challenge a credit-report error, or formally dispute a fee. Produces a clear dispute letter — what's … | source |
help-center-article |
core | Write a help-center / knowledge-base article that actually resolves the issue and deflects tickets. Use when asked to write a help doc, KB article, FAQ entry, how-to, or support documentation. Produces a findable, skimmable article — … | source |
oncall-runbook |
adjacent | Write an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation … | source |
vendor-evaluation |
adjacent | Create a structured vendor evaluation framework for any procurement decision. Use when asked to evaluate vendors, compare suppliers, run an RFP scoring process, or assess a software or service provider. Produces a weighted scorecard, … | source |
Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: https://github.com/mukul975/Anthropic-Cybersecurity-Skills (commit
673da1f, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
analyzing-macro-malware-in-office-documents |
core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | source |
implementing-ticketing-system-for-incidents |
core | Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need … | source |
detecting-t1003-credential-dumping-with-edr |
core | Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. | source |
detecting-privilege-escalation-in-kubernetes-pods |
core | Detect and prevent privilege escalation in Kubernetes pods by monitoring security contexts, capabilities, and syscall patterns with Falco and OPA policies. | source |
implementing-cloud-trail-log-analysis |
core | Implementing AWS CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and … | source |
performing-privilege-escalation-assessment |
adjacent | Performs privilege escalation assessments on compromised Linux and Windows systems to identify paths from low-privilege access to root or SYSTEM-level control. The tester enumerates misconfigurations, vulnerable services, kernel exploits, … | source |
detecting-rootkit-activity |
adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | source |
analyzing-linux-kernel-rootkits |
adjacent | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | source |
auditing-kubernetes-rbac-privilege-escalation |
adjacent | Find over-permissive RBAC roles and service-account token abuse paths in Kubernetes using kubectl auth can-i, rbac-police, kubectl-who-can, and rakkess during authorized cluster security reviews. | source |
detecting-azure-service-principal-abuse |
adjacent | Detect and investigate Azure service principal abuse including privilege escalation, credential compromise, admin consent bypass, and unauthorized enumeration in Microsoft Entra ID environments. | source |
performing-gcp-penetration-testing-with-gcpbucketbrute |
adjacent | Perform GCP security testing using GCPBucketBrute for storage bucket enumeration, gcloud IAM privilege escalation path analysis, and service account permission auditing | source |
analyzing-memory-dumps-with-volatility |
adjacent | Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … | source |
Source: muratcankoylan/Agent-Skills-for-Context-Engineering
- Repository: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering (commit
c578e85, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
evaluation |
core | This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines. | source |
memory-systems |
adjacent | This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route … | source |
Source: nexscope-ai/eCommerce-Skills
- Repository: https://github.com/nexscope-ai/eCommerce-Skills (commit
56f3288, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
tiktok-shop-customer-service |
core | Customer service on TikTok Shop — response time, dispute resolution, auto-replies, buyer satisfaction | source |
Source: nexu-io/open-design
- Repository: https://github.com/nexu-io/open-design (commit
4b66023, retrieved 2026-07-14) - License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
brandkit |
adjacent | Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, … | source |
Source: Orchestra-Research/AI-research-SKILLs
- Repository: https://github.com/Orchestra-Research/AI-research-SKILLs (commit
773a529, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
langsmith-observability |
adjacent | LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications. | source |
phoenix-observability |
adjacent | Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights. | source |
Source: parcadei/Continuous-Claude-v3
- Repository: https://github.com/parcadei/Continuous-Claude-v3 (commit
d07ff4b, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
mot |
adjacent | System health check (MOT) for skills, agents, hooks, and memory | source |
Source: pedrohcgs/claude-code-my-workflow
- Repository: https://github.com/pedrohcgs/claude-code-my-workflow (commit
be53c12, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
promote-memory |
core | Review candidate [LEARN] entries in .claude/state/personal-memory.md (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry … |
source |
Source: raintree-technology/apple-hig-skills
- Repository: https://github.com/raintree-technology/apple-hig-skills (commit
431fd30, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
hig-components-dialogs |
core | Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views. Use this skill when the user says "should I use an alert or a sheet," "how do I show a confirmation dialog," "when … | source |
Source: rockscy/solo-skills
- Repository: https://github.com/rockscy/solo-skills (commit
80ec4cf, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
changelog-from-commits |
core | Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users. | source |
Source: ruvnet/claude-code-flow
- Repository: https://github.com/ruvnet/claude-code-flow (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
cost-health |
core | Composite CI gate — runs cost-budget-check + cost-burn + cost-anomaly + cost-projection in parallel and surfaces a single combined health status with max exit code. The operationally-useful entry point — one shell-out covers all four alert … | source |
AgentDB Memory Patterns |
core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
V3 Memory Unification |
adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | source |
Source: ruvnet/ruflo
- Repository: https://github.com/ruvnet/ruflo (commit
73914bd, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
cost-health |
core | Composite CI gate — runs cost-budget-check + cost-burn + cost-anomaly + cost-projection in parallel and surfaces a single combined health status with max exit code. The operationally-useful entry point — one shell-out covers all four alert … | source |
AgentDB Memory Patterns |
core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | source |
V3 Memory Unification |
adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | source |
Source: vibeeval/vibecosystem
- Repository: https://github.com/vibeeval/vibecosystem (commit
cea9462, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
mot |
adjacent | System health check (MOT) for skills, agents, hooks, and memory | source |
Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep (commit
eb5c9d7, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
system-profile |
adjacent | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis. | source |
Source: WenyuChiou/agent-collab-skills
- Repository: https://github.com/WenyuChiou/agent-collab-skills (commit
f3c4097, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
agent-acceptance-gate |
adjacent | Use when a multi-agent round needs a pre-merge gate, pre-commit check, verification before push, or a PASS/FAIL decision after reconciliation. | source |
Source: zechenzhangAGI/AI-research-SKILLs
- Repository: https://github.com/zechenzhangAGI/AI-research-SKILLs (commit
773a529, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
langsmith-observability |
adjacent | LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications. | source |
phoenix-observability |
adjacent | Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights. | source |
Source: zxkane/aws-skills
- Repository: https://github.com/zxkane/aws-skills (commit
68530c6, retrieved 2026-07-14) - License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
aws-cost-operations |
core | AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when … | source |