Daily cross-repo digest of every open issue and PR, posted to Slack. Scope comes from the routine's own context — the repos attached to it — so the skill carries no repo list and never invents one. Splits bot PRs into security updates (listed individually) and routine version bumps (counted), flags PRs that are ready to merge, blocked on CI, or waiting on a human, calls out the automation labels, and marks anything untouched for 30 days as stale. Report-only, so it needs read scopes only and runs as a scheduled cloud routine. Requires github-ops.
Plugin open-work-report from marketplace umbraco-mcp-ops in hifi-phil/umbraco-mcp-ops. Commands read from the repo's manifest — 19 days ago.
open-work-reportDaily cross-repo overview of everything currently open — issues and PRs — collected from the repos **the routine itself attaches**, so this skill carries no repo list and never invents one. Posts a **counts-only summary** to Slack with **one threaded reply per repo** underneath, so the channel stays
Label-driven loops that take an issue from rough idea to merged PR: `ai-discussing` talks it into shape before anyone builds it, `ai-ready` builds it to a PR, `auto-reworking` acts on your review feedback. Bundles issue-discuss-loop, issue-build-loop, rework-loop, and mcp-review. Fired by the agent-orchestration Worker as a cloud routine. Repo-agnostic.
5 skills · 2 agents
Branching, merge, release, and dev-sync workflow skills for any repo — detects gitflow (dev + main) vs main-only and follows the matching conventions. Bundles release-and-branching, sync-dev, and auto-release-loop (issue+label-triggered release with two automated gates — green CI + an Opus pre-publish review against a growing checklist — no approval pause).
4 skills · 1 agent
Iteratively trims a Claude Code skill (SKILL.md + its bundled resources) down to exactly what it needs — repeated review/fix rounds against a concrete duplication-and-bloat checklist, with a fresh independent reviewer each round, until two consecutive rounds find nothing left to change (or a hard cap is hit and reported as non-convergence, never silently accepted). Bundles the skill-tighten skill and its read-only skill-tightener-reviewer agent.
1 skill · 3 agents
Shared skill for writing the structured outcome artifact a loop appends to a comment it already posts, so the agent-orchestration Worker can read what happened and apply the labels itself. One marker format, one growing catalog of outcome shapes; loop plugins point here instead of each inventing their own. Loops report through post-outcome.sh, which signals the agent-orchestration Worker and prints the exact comment body to post. Bundles hooks that signal it too: heartbeats naming the step while a loop works, blocked on a permission prompt, and ended when a session stops without reporting (AGENT_OUTCOMES_ENDPOINT + AGENT_OUTCOMES_TOKEN; without the endpoint they send nothing). Also bundles the work-log skill: how a loop records its decisions and what it verified in the Worker's decision log and build log, with log-entry.sh to add and read entries.
2 skills · hooks
Single front door for a repo's automation loops so one routine per repo can handle every loop event instead of one routine per event. Deterministically routes each triggering GitHub event to the matching loop (via route-event.sh); a non-matching event is a quiet no-op. Router only; each loop owns its guardrails. Also bundles new-loop-routine — the standard config + canonical prompts + UI wiring for standing up one routine per repo. Requires github-ops + the loop skills.
3 skills
The self-learning system shared by every automated loop in this repo. SubagentStop/SessionEnd hooks capture proto-learnings — raw observations worth improving — as rows on a shared Slack canvas (not GitHub issues, which silently lose captures across an org boundary). The hooks fire for any loop, matching on shared conventions (github-ops, /goal) rather than naming individual loops, so a new loop needs no integration here. Bundles two separate skills: proto-learning-capture (reference for the capture half and its row schema) and triage-learnings (Loop B), which weekly dedupes/clusters the canvas inbox and routes each cluster to a tracked issue on the owning MCP repo, a gated PR to the shared umbraco-mcp-skills, or a loop-improvement issue on this repo. Install alongside any loop plugin to get capture for free.
2 skills · hooks
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
9 skills · 1 command · 8 agents
AI-supervised issue tracker for coding workflows
1 skill · 1 agent · hooks
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
3 skills
MiniMax AI skills library for frontend, fullstack, Android, iOS, shader, GIF sticker, document, presentation, spreadsheet, and multimodal media workflows
18 skills
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