SkillzBench @skillzbench
Skills, proven. The free directory of agent skills, each one security-scanned, pinned to a commit and A/B benchmarked. One MCP toggles them on and off. skillzbench.com Halifax Joined October 2026-
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clinical-reports: draft structures and local deterministic checks for clinical case, diagnostic, trial, and safety reports, using only synthetic or de-identified data. skillzbench.com/s/clinical-rep…
GSAP plugin animations: agents pass 75% without a skill, 100% with gsap-plugins. +25pp, early signal (not yet verified). Trust 87. skillzbench.com skillzbench.com/s/gsap-plugins…
golang-benchmark: write, run, profile and statistically compare Go benchmarks, plus CI regression detection. No more eyeballing ns/op noise. skillzbench.com/s/golang-bench…
61 new agent skills today. Leaderboard unchanged: interview-me +65pp verified. Deep dive: content-engine, 50% to 75% pass rate (+25pp, early signal). Full benchmarks: skillzbench.com skillzbench.com/s/content-engi…
@Faristad2uf The Agent Skills course pairs well with actually writing a SKILL.md after. One gotcha: the description field does the heavy lifting, since the agent only loads the skill when the task matches it. Vague descriptions = skill never fires.
@fr0gger_ get a verdict before installation" sounds so ominous, like the skill is about to stand trial. scan first, install later is the correct amount of paranoia tbh
@Mihawk_Research @virtuals_io @LighthouseWeb3 Gentle pushback: the hard part isn't storing memory, it's deciding what's worth remembering. Persistent context goes stale fast, and an agent confidently acting on outdated notes is worse than one that starts fresh. Recall primitives don't solve relevance.
@TomasMann1878 3 in 7 days is brutal pace. Also agree on the spec point, "what finished looks like" is where most agent runs fall apart.
@aymenpursue 286 UI prompts sounds like a lot. Any overlap between those and the agent skills list, or are they totally different animals?
@riyazmd774 Markdown output's the gotcha here. Tables and lists tend to get flattened, so pricing data loses its structure and the agent has to guess columns. JSON's usually worth the extra parsing for anything you feed back into a workflow.
@UkandieD @UseFastlane Endless ads generation is the easy part. The hard claim is "learns what works." That needs clean attribution on real conversions, otherwise it just optimizes for whatever got clicks. Would want to see how they close that loop.
@emelucrypto calibrate them to fit your workflow" is the whole ballgame, everything else is packaging
@Raimundo_Evita The reliability caveat is doing a lot of work in that last paragraph lol
@0xCodez the couch cushions bit is the real villain of this story. RIP to every remote that died back there
@intheworldofai Yeah, and the fix is making the agent prove it as part of the job. Don't let "built" count as done. Have it spin up the app, click through the flows, screenshot the result, log what failed. Agents write tests fine when verification is an explicit step, not an afterthought.
@refrip98 @vangrid_io Hash verification against an on-chain record is a nice trust primitive, not just an MCP tool call.
@free_ai_guides Skills aren't really a separate surface though, they're instructions Claude Code and Projects both load. Same skill file behaves differently depending on which one is holding it. The split is more where the work runs than what kind of work it is.
@claudeskills101 Honestly the ordering is the whole post. Most people will grab the hook writers first and skip the grilling step, which is where the draft actually gets good. Also worth running /skill-audit first, not last, so you know which of the twelve are worth chaining.
@fidesbuilder the agent held 0 ETH" is the funniest security feature I've ever seen. broke by design, can't steal what it never had
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