DevOps & Infra

coco-research Skill

Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.

coco-research Skill

Browser automation for AI agents. Two providers — agent-browser (local CLI with Playwright) and agentic-browser (cloud via inference.sh). Both use the same @e ref-based workflow for navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, and automating browser tasks.

coco-research Skill

Autonomous audit-to-fix pipeline — find issues, classify, fix, test, commit

peterbamuhigire Bundle

Use when turning approved game requirements and architecture into implementable Unity, Godot, Unreal, Apple-native, multiplayer, content-pipeline, build, and telemetry work packages with code and asset contracts.

peterbamuhigire Bundle

Use when specifying a game's 3D asset and Blender source-to-engine pipeline, including asset briefs, rigs, animation clips, UV/bakes, materials, LODs, collision, export/import, lineage, automation, runtime budgets, and acceptance evidence; use game-system-architecture for whole-system boundaries.

eugenelim Bundle

Read and mutate Jira (Atlassian Cloud or self-hosted Server / Data Center) via the REST API. Supports JQL search with auto-pagination, fetching issues / projects / users, creating and updating issues, applying workflow transitions, adding comments and attachments, deleting issues, listing projects, looking up users, and an arbitrary raw escape hatch. Streams results as JSON, JSONL, or CSV. Handles Cloud (REST v3, basic auth with email + API token, ADF, nextPageToken) vs Server/DC (REST v2, bearer Personal Access Token, plain text, startAt) differences automatically. Use when the user wants to read, search, export, create, update, or transition Jira data.

eugenelim Bundle

Progressive-disclosure operational-safety-depth modules for the work-loop. Holds failure-mode-keyed checklists the quality-engineer reviewer reasons from (state-and-idempotency, blast-radius, environment-isolation, cost-and-teardown, drift-and-rollback, observability-and-smoke), plus cloud-implementation-craft, the module also inlined into the implementer's EXECUTE brief. Each is grounded in standing operational taxonomy (AWS Well-Architected, Google SRE, the Terraform/Pulumi Day-1/Day-2 split). The orchestrator loads only the matching modules and inlines them into the reviewer's REVIEW brief when infra/destructive work or a persistent-representation / mixed-version deployment change is detected — and cloud-implementation-craft into the implementer's EXECUTE brief on infra-flavored work; the subagent never self-discovers this skill. Not a reviewer prompt itself — it is the depth library the reviewer and implementer reason from. Carves against security-checklists on the reliability-vs-security lens.

eugenelim Bundle

Acquire a platform's or library's real contract from its own toolchain oracles before authoring against an unfamiliar one — infrastructure, a CLI invocation, code on a managed runtime, or code against an unfamiliar framework or third-party library whose contract you don't hold. Triggers on "deploy to", "write the Terraform / Pulumi / CDK for", "provision", "what's the right resource shape", "why does this apply fail", "what's the signature / does this still exist in this version", "why does this library call raise". Runs a tiered, tool-keyed protocol — detect the stack or library + version, run the toolchain's validate / plan / synth or the type-checker / compiler + API-surface oracle, consult a curated skill, retrieve versioned docs, then a runtime probe — declares its oracle tier and degrades honestly to the probe when no strong static oracle exists. Do NOT use for code whose contract you already hold (use work-loop directly), nor to review a finished diff (rides quality-engineer).

eugenelim Bundle

Read and mutate Jira Align (Atlassian Cloud or self-hosted/on-prem) via the REST API 2.0. Supports fetching individual records (epics, features, stories, capabilities, themes, portfolios, programs, teams, users, etc.), paginating collections with OData-style $filter / $select / $orderby / expand, streaming results as JSON/JSONL/CSV, creating new records, updating existing ones (PUT or PATCH), deleting records, and arbitrary raw calls. Use when the user wants to read, search, export, create, or update Jira Align data.

eugenelim Bundle

Use when the user is framing a problem, weighing a technical choice, or designing a system or integration without a diagram as the headline ask. Triggers on "how should we", "we need to", "what's the right way to build X", tech-selection, integration design, NFR trade-offs. Shapes a one-page concept first, then produces a Google-style design doc (TL;DR, context, goals/non-goals, proposal, alternatives, risks, rollout, open questions), 2-5 pages, with Mermaid inline, and converges it against review. Cloud well-architected by construction (AWS/Azure/GCP and primitives providers like Hetzner). Do NOT use when the ask is a diagram (use `architect-diagram`) or a critique (use `architect-review`).

eugenelim Bundle

Use this skill when the user points at a Jira defect and asks you to handle it end-to-end -- "fix PROJ-123", "work this bug ticket", "diagnose and ship a fix for this defect". The skill pulls the ticket via the `jira` skill, hands the actual fix to the `bug-fix` skill (reproduction-first, root-cause, minimum-diff, regression-test), opens a PR whose body links back to Jira, and comments + transitions the ticket. By default it stops at PR-opened; runs a dev-deploy step only if the consumer repo provides one. Do NOT use for stories, tasks, or feature work -- those go through `new-spec`.

eugenelim Bundle

Use this skill to author governed, best-practice Terraform/OpenTofu infrastructure from a plain-language intent. Triggers on "provision X", "create Terraform for", "generate IaC for", "set up cloud resources", "write Terraform for", "scaffold infrastructure". Stops at a digest-pinned `terraform plan` (G4 handoff); never runs `apply`. Governance-first — resolves the decision-record surface before any code.

eugenelim Skill

Use this skill to audit Terraform/OpenTofu drift, reconcile state, run a pre-change preflight, or check an incoming IaC diff for ADR compliance. Triggers on "reconcile my infrastructure", "check for drift", "drift audit", "what drifted", "before I change X check drift", "is my infra in sync", "adr-check", "does this change comply", "check this diff against our ADRs", "compliance check this IaC change". Never autonomously applies. Shares generate-iac's references and reviewers.

eugenelim Bundle

Crawl an authenticated Confluence space (Atlassian Cloud or on-prem Server/Data Center) by page hierarchy and convert each page to clean Markdown with frontmatter. Handles macros, attachments, internal link rewriting, depth limits, and idempotent re-crawling. Use when the user wants to mirror, export, or ingest Confluence content.

eugenelim Bundle

Publish content to a Confluence page (Atlassian Cloud or Server/Data Center) by creating a new page or updating an existing one. Accepts Markdown (default), raw Confluence storage XHTML, or plain text. Resolves the target by page ID, URL, frontmatter `confluence_id`, or space + title lookup. Handles optimistic-locking 409s with one retry. Use when the user wants to push a report, design doc, or other content to a Confluence page they have access to.

eugenelim Skill

Use to author a Service Level Objective (SLO) document for a service in the release-engineering pack. Produces an OpenSLO v1 YAML file committed to `slos/<service>.yaml`, with an error_budget_policy block, that the release-loop's PRR gate reads to resolve the error-budget status field. Triggers on "define SLOs for this service", "author an SLO", "set up error budget tracking", "create a reliability target", "we need an SLO document", "the PRR shows error-budget: not-defined". Do NOT use to generate Prometheus recording rules or alerting rules (toolchain work — the adopter's pipeline does that), to set up ongoing alerting backend routing, or to run the release loop itself.

eugenelim Bundle

Compare competing hypotheses on a decision-shaped question using an ACH-style evidence matrix (hypotheses × evidence-for/against). Dispatches per-hypothesis parallel retrieval on Claude Code (one `evidence-retriever` subagent per hypothesis — the +81% parallelizable-task case from multi-agent research). In decision-pipeline invocations expects upstream `<topic-slug>-perspectives.md` and `<topic-slug>-sources.md`; standalone invocations enumerate hypotheses inline. Produces `<topic-slug>-hypotheses.md` with the matrix and a most-supported ranking. Depth cues — `quickly`, `top three`, `briefly`, `summary only` for the dominant hypotheses; `comprehensively`, `exhaustively`, `in depth`, `extensive` for fringe ones too.

eugenelim Bundle

Use to drive the deployed end-to-end validation outer loop — deploy the integrated whole to an ephemeral environment, run e2e, observe telemetry, feed deployed findings back to work-loop's inner loop, redeploy, and iterate until the deployed whole converges, then stop at the human consent gate for the prod ship. Run by the release-lead agent (a peer of work-loop's supervisor, not a work-loop mode). Triggers on "run the release loop", "deploy the integrated whole and iterate", "ship it to an ephemeral env and run e2e", "iterate the deployed env until it converges", "take this to a prod-ship readiness record". Autonomy is carved by minimum-regret — reversible ⇒ autonomous on ephemeral envs; irreversible ⇒ human. No engine. Do NOT use for the inner local build loop (use work-loop), to author a fidelity-ladder / local-infra-equivalents skill (that is the inner-loop obligation), or to run the live product as a managed service (adopter ops).

eugenelim Bundle

Enumerate the named camps on a contested topic before research begins. Builds the perspective scaffold that `/source-map` and `/compare-hypotheses` consume downstream in the decision pipeline. Grounded in Wikipedia NPOV (neutral point of view — fairly represent significant views) and ACH (competing hypotheses — surface all explanations before evaluating). Produces `<topic-slug>-perspectives.md` listing each camp's name, its core claim, and representative voices, plus a tension map recording which disagreements are irreducible (both sides right under different conditions) and what a forced resolution would destroy. Depth cues — `quickly`, `top three`, `briefly` for the dominant few; `comprehensively`, `exhaustively`, `in depth`, `extensive` for fringe and dissenting positions too.

kumaran-is Bundle

Iron Law

kumaran-is Skill

Masters modern SQL across PostgreSQL, BigQuery, Snowflake, and hybrid OLTP/OLAP systems — covering advanced query techniques, dimensional modeling, time-series SQL, and data warehouse patterns. Use when writing complex analytics SQL, designing cloud database schemas, or optimizing cross-platform SQL workloads.

kumaran-is Bundle

GCP cost optimization and resilience skill. Use for GCP billing budget alerts, committed use discounts, sustained use discounts, cost allocation labels, GCP Recommender, Cloud SQL PITR, multi-region DR, and RTO/RPO planning. Triggers: GCP cost, billing, committed use discount, sustained use discount, cost optimization GCP, DR planning, RTO, RPO, disaster recovery GCP.

kumaran-is Skill

Use when reviewing or auditing a RAG pipeline end-to-end against production best practices. Covers all 8 stages — ingestion/chunking, versioning/updates, embedding/indexing, query routing, retrieval/fusion/reranking, generation/abstention, security, and eval/observability. Triggers on phrases like "review RAG pipeline", "audit RAG", "RAG E2E review", "is this RAG production ready", "check RAG implementation", "RAG pre-merge review", "review this RAG code".

kumaran-is Skill

ADK development lifecycle guardrails — 4-phase workflow (Understand → Build → Evaluate → Deploy), import precision rules, GOOGLE_CLOUD_LOCATION debugging, code preservation, and infinite loop breaking. Load BEFORE google-adk when starting a new ADK agent feature.

kumaran-is Bundle

GCP Cloud Run deployment skill. Use for Cloud Run Functions (event-driven Pub/Sub, Storage, HTTP webhooks), cold start optimization, and Cloud Run anti-pattern prevention. For Cloud Run service deployment use deployment-engineer agent. Triggers: cloud run, cloud function, pub/sub trigger, cold start, serverless, event-driven GCP, cloud storage trigger.

plamentsv Skill

Launch the Plamen deterministic Web3 security audit pipeline

plamentsv Skill

Launch the Plamen deterministic L1 infrastructure audit pipeline

majesticlabs-dev Bundle

This skill guides deploying Rails applications with Kamal 2. Use when configuring deploy.yml, setting up kamal-proxy, managing secrets, accessories, or preparing servers for container deployment.

majesticlabs-dev Bundle

This skill guides writing Ansible playbooks for server configuration. Use when hardening servers, installing packages, or automating post-provisioning tasks that cloud-init cannot handle.

majesticlabs-dev Bundle

This skill guides provisioning Hetzner Cloud infrastructure with OpenTofu/Terraform. Use when creating servers, networks, firewalls, load balancers, or volumes on Hetzner Cloud.

majesticlabs-dev Skill

Pytest templates and patterns for ETL pipeline testing - unit, integration, data quality.

majesticlabs-dev Bundle

This skill guides writing Infrastructure as Code using OpenTofu (open-source Terraform fork). Use when creating .tf files, managing cloud infrastructure, configuring providers, or designing reusable modules.

majesticlabs-dev Bundle

This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.

majesticlabs-dev Bundle

Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.

majesticlabs-dev Skill

This skill guides writing cloud-init configurations for VM provisioning. Use when creating user_data blocks in Terraform/OpenTofu, or cloud-init YAML for AWS, DigitalOcean, GCP, or Azure instances.

majesticlabs-dev Bundle

This skill guides provisioning Cloudflare infrastructure with OpenTofu/Terraform. Use when managing zones, DNS records, WAF rules, SSL settings, Page Rules, or cache configuration.