「AI 与智能体」分类共 1707 个 Skill，按仓库 star 排序。分类自动生成，仅供参考。
tjboudreaux/cc-thinking-skills1.6kWhen a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
tjboudreaux/cc-thinking-skills1.6kDeciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.
tjboudreaux/cc-thinking-skills1.6kUse when a selective defect needs IS/IS-NOT difference analysis or a consequential option choice needs must/want weighting and adverse-consequence comparison.
tjboudreaux/cc-thinking-skills1.6kUse when longevity of a non-perishable option matters. Treat survival duration as a remaining-life prior, then check domain drift before favoring the proven.
tjboudreaux/cc-thinking-skills1.6kWhen provisioning, setting a limit, or committing an estimate under uncertainty, size a buffer to residual error and the cost of breach—not to the optimistic edge.
tjboudreaux/cc-thinking-skills1.6kWhen one mental model leaves a material blind spot on a multi-domain or high-stakes problem, sequence complementary models with named roles and a conflict rule.
tjboudreaux/cc-thinking-skills1.6kWhen unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).
tjboudreaux/cc-thinking-skills1.6kUse under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.
tjboudreaux/cc-thinking-skills1.6kBefore committing scarce time, people, or money, name the best forgone use of those resources and the value delta of the chosen path versus that alternative.
tjboudreaux/cc-thinking-skills1.6kBefore committing to a plan or launch, assume it already failed and reason backward through concrete causes — convert failure paths into mitigations, gates, and stop checks.
tjboudreaux/cc-thinking-skills1.6kUse when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities into order-of-magnitude bounds.
tjboudreaux/cc-thinking-skills1.6kBefore heavy deliberation, classify the decision as cheap or costly to undo; decide two-way doors fast and stage one-way doors to preserve options.
tjboudreaux/cc-thinking-skills1.6kWhen a change has effects past the immediate fix—incentives, scale, feedback—trace consequence chains with timing and probability before committing.
tjboudreaux/cc-thinking-skills1.6kWhen a request is vague, assumption-laden, or "obvious," ask the few load-bearing questions that expose hidden requirements before building or committing.
tjboudreaux/cc-thinking-skills1.6kBefore rejecting a proposal or reflexively agreeing, build the strongest faithful opposing case, state agreement conditions, then update or reaffirm.
tjboudreaux/cc-thinking-skills1.6kWhen behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.
tjboudreaux/cc-thinking-skills1.6kWhen two design requirements seem mutually exclusive, name the contradiction, separate conflicting states, then invent a concrete no-compromise resolution.
tjboudreaux/cc-thinking-skills1.6kUse when the reflex is to add a feature, layer, or process. Prefer removing harmful or nonessential elements first, with an irreversibility guard before deletion.
Jakeschincariol/linkedin-agent-skill1.6kWrite comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.
Jakeschincariol/linkedin-agent-skill1.6kWrite connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Use when the user says "write a connection request", "DM this person", "outreach message", "how do I follow up", or is reaching out to someone specific on LinkedIn.
Jakeschincariol/linkedin-agent-skill1.6kStrip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.
Jakeschincariol/linkedin-agent-skill1.6kTriage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.
Jakeschincariol/linkedin-agent-skill1.6kBuild the week on LinkedIn - what to post, when to post it, and who to engage with. Use when the user says "plan my week", "what should I post", "content calendar", "I have nothing to post about", or wants a posting schedule and an engagement list.
Jakeschincariol/linkedin-agent-skill1.6kWrite a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hook options, one full draft, and a copy-ready block that is never published without an explicit yes.