Read charts, common statistics, and study designs without overclaiming — for essays, labs, and civic numeracy.
Skills in this repository
poly-gents/syncolab-skills - Page 2
SkillsMP has collected 321 skills from poly-gents/syncolab-skills. Open a skill to review its source and details.
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Decide whether to do work yourself, delegate to another digital employee, or escalate to a human, using a small fixed matrix instead of ad hoc judgment.
Triage a stream of Dependabot / Snyk / GitHub advisory alerts: filter by reachability and exploitability, decide upgrade vs mitigate vs accept, and route through the normal PR + approval flow.
Pre-classify an agent-tool failure (env, auth, quota, code, data, unknown) before retrying or filing a bug, so the resulting report has a useful hypothesis and the right next step.
Design welcome, onboarding, drip, nurture, and lifecycle email sequences.
Optimize lead capture, contact, demo, and quote forms (not signup forms) for completion rate.
Plan and evaluate free tools (calculators, generators, mini-apps) as marketing assets.
Thesis, motive, evidence, counterargument, and close reading — without writing the student’s essay for them.
Own the loop from incident-declared through postmortem-document through action-items-closed — without losing follow-through three weeks later.
IMRaD-style structure, methods clarity, figures and uncertainty, and honest limitations for STEM reports.
amsmath / amsthm scaffold, theorem environments, figure & equation cross-refs, journal templates.
Plan and execute a product launch or feature announcement — pre-launch, launch day, post-launch.
Plan and produce lead magnets — guides, templates, calculators, mini-courses — that capture qualified emails.
Cluster papers by claim, evaluate evidence quality, surface contrasts and gaps.
Community Manim workflow: Scene/Construct pattern, Tex/MathTex, render qualities, export and embed.
Curated library of marketing tactics and growth ideas to brainstorm against.
Apply behavioral science and persuasion principles to marketing copy, UX, and pricing.
Explain at multiple levels (intuition → semi-formal → formal), Polya-style problem solving, worked-example design.
Definition → lemma → theorem → corollary discipline, hypothesis tracking, casework hygiene, gap-spotting.
Frame and refine a math research question, choose tactics (prove vs compute vs simulate), keep a tight research diary.
Desmos / GeoGebra / Matplotlib for intuition before formalization.
Teach planning, spaced practice, interleaving, self-testing, and time management for durable learning.
Systems for lecture notes, reading notes, and linking ideas across a term (Cornell, outlines, Zettelkasten-lite).
Floating point, conditioning, stability, convergence, error budgets, choosing a scheme.
Design first-run experiences and post-signup onboarding for activation and time-to-value.
Diagnose and optimize any marketing page (homepage, landing, pricing, feature) for conversion.
Plan, structure, and optimize paid campaigns on Google, Meta, LinkedIn, X, TikTok.
Spin up multiple sub-agents in parallel for independent sub-tasks while keeping a clear coordinator that aggregates results, breaks ties, and surfaces partial failures back to the user.
Design in-app paywalls, upgrade screens, feature gates, and upsell modals that convert without breaking trust.
Adversarial reading, soundness / novelty / clarity scoring, blameless feedback.
Design popups, modals, slide-ins, and banners that convert without annoying users.
Structure talks, recitation mini-lectures, and poster narratives with clear story arcs and audience-aware design.
Decide pricing, packaging, and monetization model based on value, willingness to pay, and competitive context.
Distributions, estimators, hypothesis-test pitfalls, Bayesian vs frequentist framing.
Capture and reuse a single source of truth for product, ICP, positioning, and voice that every other marketing skill reads first.
Before declaring engineering work done, validate that what you built matches the production reality — not just the local or test environment — using the real signals (CI, observability, smoke tests).
Plan and produce SEO-driven pages at scale using templates and structured data.
Strategies for papers and monographs outside math: claim–evidence–limits, skimming, and critique without drowning in jargon.
Design, optimize, and analyze referral and affiliate programs.
Run a pre-release checklist before any non-trivial deploy: code, observability, rollback, comms. Block the release if any item is red.