Add skill: ledger-tasks-yylo

[InsightFactoryAPP]

Add Skill: ledger-tasks-yylo

Checklist

Before submitting, ensure your skill meets these requirements:

Frontmatter (SKILL.md YAML header)

• name — Lowercase kebab-case only (a-z, 0-9, -), max 64 chars
• description — States WHAT it does and WHEN to use it, includes trigger words, max 1024 chars, third person (no "I"/"you"/"we")
• license — Present (e.g., Apache-2.0) — declared MIT, matching the upstream source
• compatibility — Concrete system requirements (e.g., "Requires Python 3.9+") or "No special requirements"
• metadata.author — Your GitHub username
• metadata.version — Semantic version ("1.0.0")
• metadata.category — One of: documents, development, data-ai, devops, business, design, automation, research, productivity, content
• metadata.tags — Array of 3–5 relevant tags

Body Sections

• Overview — 2–3 sentence summary
• Instructions — Step-by-step actionable workflow (not prose), each step tells the agent what to DO
• Examples — At least 2 concrete input/output examples with realistic data (no lorem ipsum / foo / bar)
• Guidelines — Best practices, edge cases, error handling

Quality

• Under 300 lines total (159 lines)
• Instructions are specific enough that an AI agent can follow them without guessing
• Works cross-platform (no vendor lock-in or proprietary APIs without a free tier) — the CLI is open source (MIT, npm @yylo/cli)
• Solves a real, recurring problem a developer would encounter at least weekly

Files

• skills/your-skill-name/SKILL.md added
• Use-case article added in use-cases/ (optional but recommended)

---

Which use case does this skill serve?

The new use-case article use-cases/run-kanban-tasks-for-coding-agents.md (included in this PR): keeping AI coding-agent task state durable and dependency-aware across sessions instead of chat scrollback — agents pick only unblocked work, execute one task at a time, and close tasks with tested responses plus commit hashes.

Example usage

yy ledger ready --tag backend --limit 5
yy ledger mark in_progress --id T-141 --response "Starting: porting upload client to shared retry helper"
yy ledger mark done --id T-141 --response "Completed: swapped fetch loop for retry helper, 12 unit tests green" --commit 9f31c0a

Category

development — coding-agent task lifecycle and dependency-aware work, sibling to agent-workflow-packager.

Additional context

Disclosure: I'm on the team that builds YYLO. This skill is adapted (with provenance cited in the Overview) from the canonical ledger-tasks-yylo SKILL.md in yylo-dev/yylo-skills (MIT) — trimmed to house format, host-specific frontmatter removed, prerequisites added. The license field is MIT (the source skill's license) rather than the repo default; happy to adjust if a uniform Apache-2.0 declaration is preferred for the catalog. The PR was prepared with an AI agent's help and reviewed by me. README gains one catalog row and one use-case bullet, both bottom-appended per the freshest merged adds (#530/#531). Glad to revise or trim anything.

[Andrew1326]

Thanks for the PR and for the upfront disclosure — it made this easy to review. I'm going to close it rather than merge, for two reasons:

1. The prerequisites don't work as written. The skill installs only @yylo/cli and then runs yy ledger --version, but YYLO's own README says yy ledger delegates to a separately installed Ledger CLI — yylo-ledger, a Python package (pip install yylo-ledger), which isn't on npm. An agent following the skill fails at step one, and compatibility would also need to list Python.

2. Scope. The catalog aims for skills that are useful to a broad set of agent users. This one exists solely to operate a single, very new tool (YYLO Ledger was created last month), so for now it serves people who have already adopted YYLO — who can get the canonical skill from yylo-dev/yylo-skills directly.

You're welcome to resubmit once Ledger has wider adoption and the install path is fixed. If you do, please also use license: Apache-2.0 to match the catalog, and base the use case on a real workflow rather than an illustrative one.