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ssheleg harness · sshlg-skills

A working method for coding agents, with a skill family and Project Observatory.

Route the task, preserve its intent, verify the result and leave a handoff another agent can use. The skill family supplies the instructions and checks; Project Observatory is a separately installed tool for observing projects and credential exposures. How the harness works.

npx sshlg-skills install

Verify the resolved family: npx --yes sshlg-skills@latest list.

Detailed docs → · one page per skill, every routing rule verbatim, and llms.txt for the machines. · Follow @sshlg93 on X

Works with Claude Code (as plugins) and DeepSeek Harness (dsh), plus Cursor, OpenCode, Codex, Kilo, Kimi, Hermes, Gemini CLI, Windsurf, Zed and other targets among the 79+ agents the vercel skills CLI supports. Kimi gets the skills only: the hub has no instruction target for it, so the routing block reaches it only through a file you keep yourself (which). OpenClaw is opt-in (--agent openclaw, why). The pinned snapshot has 77 global targets; native extension support is checked separately in the compatibility report.

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Why

A coding agent is good at writing code and bad at almost everything around it. It builds an interface with no idea who uses it. It calls a task done without checking what was actually asked for. It ships a page that looks generated, on a site no search engine or answer engine can read. It reaches for a payment webhook or an agent's tool-calling loop and writes the version that holds until it meets real traffic. And the moment you want it to remember how you work, you are writing a skill, and packaging one correctly is its own afternoon.

Each skill pack takes one of those gaps and gives the agent a contract it has to follow. They are documentation, validators and small standard-library scripts. No services, no telemetry, no API keys.

Skill	Version	What it does
super-ux	0.66.3	Scenario-driven UI development. A versioned design chain in docs/ux/: the product vision → personas and jobs → user flows → a screens-and-states map with Figma frames → traced scenarios → evidence-backed audits → fix plans, plus docs/brand/ for how the product speaks. One /ux entry point that reaches every skill, two doc-drift linters and a contract doctor.
task-pipeline	1.102.4	Full-cycle delivery orchestrator. An intake grill interrogates the request into a complete brief, then ten gated stages carry it (docs, brainstorm and decompose, spec, plan, build, tests, deploy, post-deploy, wiki, acceptance), refusing to advance until each gate passes. Documentation is a deliverable with its own portable gate, and the retrospective it leaves behind is traceable to the commit that earned each lesson. Ships project-audit: a cold-start audit of a whole project: discovery, probes whose unmet needs read blind rather than clean, production evidence including one artefact served under two channels, and an HTML report beside a JSON sidecar that says what moved.
agent-sync	1.23.5	Several agents, one repository, no collisions. Leases with a TTL so two agents cannot claim the same work, race-free id reservation, a run journal and a generated board, over a pluggable knowledge cloud. The answer to "two sessions just committed over each other".
make-skill	0.33.5	A skill that builds skills. Create, retrofit, audit and publish agent skills and Claude Code plugins: conformance to the Agent Skills open standard, Anthropic's platform rules (per-surface runtime limits, the Skills API, evals) and the Claude Code plugin reference, marketplace layout, version sync, validator + CI, every distribution channel, the review checklist for third-party skills, and what a skill author must know about MCP and A2A (the protocols themselves live in agent-stack).
sheleg-design	1.66.5	The taste layer. Cinematic scroll-driven landing pages (one scroll clock, motion that degrades to calm, WebGL particle formations), plus product-UI style packs each shipping a ready token layer, and the Figma border: tokens as variables, design to code without hand-copied values.
seo-aeo-audit	0.32.4	Evidence-first website audit for search and answer engines. Ten tracks from crawl access to AI citation mechanics; every finding carries an observation, every recommendation an evidence tier, and the output is a prioritized change plan plus a link-building brief, not a score. Before a site is built, /seo-aeo-audit brief writes the build-time brief that the audit later verifies.
sheleg-dev	0.16.3	The integration layer a product reaches once it has users: money in, tracking, sign-in, speed. Stripe subscription billing reconciled into your own…