encapsulation
This skill should be used when the user asks to \"audit plugin encapsulation\", \"check self-containment semantics\", \"find…
Quick protocol recommendation from recent sessions, or quest-based learning through scenario, trial, and quiz.
$ npx -y skills add jongwony/epistemic-protocols --skill onboard --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/onboardContext preview
The summary Claude sees to decide when to auto-load this skill.
Quick protocol recommendation from recent sessions, or quest-based learning through scenario, trial, and quiz.
name: onboard description: "Quick protocol recommendation from recent sessions, or quest-based learning through scenario, trial, and quiz."
Start with a quick recommendation based on recent sessions, then optionally continue to guided learning — so users experience value first, learn second.
Invoke directly with `/onboard` when the user wants onboarding or protocol discovery.
Invoke this skill when:
Skip when:
Quick Proof: ENTRY → QUICKSCAN → PICK → EVIDENCE → TRIAL → INSIGHT → NEXT Targeted: ENTRY → QUICKSCAN → MAP → SCENARIO → TRIAL → QUIZ → GUIDE Targeted + std: ENTRY → SCENARIO → TRIAL → QUIZ → GUIDE
| Phase | Owner | Tool | Purpose | |-------|-------|------|---------| | 0. Entry | Main | Gate | Path selection: quick/targeted | | 1. Quick Scan | Main | Glob, bounded head read | User Context Profile extraction | | 2a. Pick | Main | — | Quick path: recommendation | | 2b. Evidence | Main | — | Quick path: evidence card | | 2. Map | Main | — | Targeted path: Profile → Protocol matching | | 3. Scenario | Main | Gate | Targeted path: context-personalized intervention point | | 4. Trial | Main | Gate | Real protocol execution (quick: mini trial, targeted: full trial) | | 4→Q. Insight | Main | — | Quick path: post-trial insight card | | 4→Q. Next | Main | Gate | Quick path: simplified navigation | | 4→5 LOOP | Main | Gate | Targeted path: post-trial navigation | | 5. Quiz | Main | Gate | Targeted path: Socratic protocol recognition quiz | | 6. Guide | Main | Gate | Targeted path: summary + next protocol suggestion |
Compact mapping for inline use.
| Protocol | When to Use | Key Patterns | |----------|-------------|-------------| | Aitesis `/inquire` | A task rests on missing context or unchecked assumptions — collect what the AI can reach on its own, hand back what it cannot as the user's own unknown | Hand-off or execution about to start on context nobody gathered; implicit requirements, environment dependencies, prior decisions (for prior-session recall → use `/recollect`) | | Euporia `/elicit` | Intent articulated but the decisions it turns on not yet named | Multi-axis intent without single axis-specific protocol fit; coordinates surface from the user's material, words, and the domain's usual decisions | | Heuresis `/ideate` | Object-level candidate field is empty or has prematurely converged — widen it before any selection is made | Zero entry questions (blank, seeded, or resumed, inferred without asking — for a bare `/ideate`, from the conversation before it), frame-first while the field holds no candidate, no elimination or ranking during generation, every candidate tagged with where it came from (the user, the AI, or the tag named material came with, else the turn it was read from) | | Proplasma `/preview` | Right before a direction commitment when the candidates cannot be judged from descriptions — contrast cheap discard-committed placeholder probes on AI-drafted axes relayed with their basis | Principle-delegation at direction gates ("go with the recommended direction"), option-set reconstruction instead of choosing, "I'd have to see it" decision stalls | | Hypotyposis `/sketch` | A form has to be made, intent cannot yet be settled from descriptions, and the user would recognize it on sight — relay what the next versions try, show each version before the standing, revise from the versions the user's words point to, end when they recognize one they met | "I'd know it when I see it", a plan stalled at its first draft, a description rewritten repeatedly instead of made | | Analogia `/ground` | Auditing what a mapping being relied on licenses about a case, reading any account it can reach as evidence | Intended conclusions whose structural evidence or limits remain uncertain | | Periagoge `/induce` | Concrete cases sharing something not yet named, or a name being reconsidered from its cases — crystallize the abstraction they share | 2+ concrete cases sharing something whose name, rule, or reach is unsettled, a named abstraction being reconsidered from its cases included — the question is what abstraction the given cases share, where `/ground` asks what carrying a given structure to a target supports, or tests an abstraction against its own cases | | Merismos `/apportion` | An autonomous goal is stated but its unit plan is uncompiled — cut it into coarse units at cited seams and close each unit before the run begins — a derived completion condition where one compiles, a recorded acceptance or a recorded reservation where none does — then hand the taken plan to the run | An unattended-run directive ("work through", "go through all", "run until done"), a goal that plainly exceeds one execution horizon, or a stop-hook being configured — each only shows an autonomous interval is *intended*, so the deciding check is whether the goal already carries units whose completion conditions are settled — closed by a determinate predicate, by a recorded acceptance, or by a recorded reservation; where one already does, `/apportion` shows that plan on its first sheet with that reading as a contrary ground | | Epharmoge `/contextualize` | A result — this session's or another's — is correct but may not fit where it lands or may leave out an intent the conversation stated | Misfits and omissions against everywhere the result lands and the session-built constraints, shown on one sheet | | Horismos `/bound` | Deciding what to delegate to AI | Provisional whole map, progressive examination, source-bound settlement and residual | | Anamnesis `/recollect` | Resolving vague recall of prior sessio
한국어 When AI collaboration goes off-track, you redo everything. These protocols bring the decisions that set the direction to you early — often at the plan level, before a wrong one hardens into code or other downstream work — and leave each one yours to
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