Use when answers, progress updates, explanations, or questions risk verbosity, repetition, indirect wording, vague conclusions, or conversational loops.
Langue du texte source : anglais
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SkillsMP a collecté 79 skills depuis ihabkhaled/AI-Psychiatry. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 40 skills collectés sur 79.
Use when answers, progress updates, explanations, or questions risk verbosity, repetition, indirect wording, vague conclusions, or conversational loops.
Langue du texte source : anglais
Use when the user explicitly requests the complete AI-Psychiatry framework through one all-in-one command that evaluates and orchestrates every available skill until the task is proven complete.
Langue du texte source : anglais
Use when the user explicitly requests the complete AI-Psychiatry framework through one all-in-one command that evaluates and orchestrates every available skill until the task is proven complete.
Langue du texte source : anglais
Use when the user explicitly requests maximum autonomous execution, no unnecessary questions, persistent recovery, independent decision-making, and continuous work until the full Definition of Done is proven.
Langue du texte source : anglais
Use when installing, upgrading, or auditing AI Psychiatry; adding attention, compulsive-checking, overthinking, underthinking, semantic anti-bypass, recursion, evidence, context, memory, or delivery controls to a repository.
Langue du texte source : anglais
Use when the user explicitly requests maximum autonomous execution, no unnecessary questions, persistent recovery, independent decision-making, and continuous work until the full Definition of Done is proven.
Langue du texte source : anglais
Use when commands, labels, agents, counters, or classifications change while the same underlying behavior continues.
Langue du texte source : anglais
Use when BLOCKED is proposed after difficulty, uncertainty, unfamiliar code, a slow operation, or a small number of failed attempts.
Langue du texte source : anglais
Use when DONE is proposed with unrun tests, missing requirements, inferred success, happy-path-only proof, or unresolved required findings.
Langue du texte source : anglais
Use when context is overloaded or compression may have removed requirements, constraints, evidence, blockers, or decisions.
Langue du texte source : anglais
Use when an important implementation, architecture, security, data, or delivery decision rests on unresolved critical unknowns.
Langue du texte source : anglais
Use when mandatory behavior, integration, security, migration, or data requirements lack the appropriate kind of proof.
Langue du texte source : anglais
Use when an AI-Psychiatry budget expires while new evidence shows a narrow extension is required for correctness, security, or completion.
Langue du texte source : anglais
Use when status reports emphasize tools, files, commits, plans, tokens, or agents while requirements and evidence remain unchanged.
Langue du texte source : anglais
Use when an agent-control framework needs adversarial testing for fake productivity, loops, recursion, evidence gaps, or vague wording.
Langue du texte source : anglais
Use when nested work is renamed, moved across agents, promoted to top level, or hidden behind research, validation, review, and dependency labels.
Langue du texte source : anglais
Use when non-trivial implementation starts before what exists, what changes, why, risks, and validation are sufficiently known.
Langue du texte source : anglais
Use when rules appear satisfied while their intent is bypassed, counters reset, classifications change conveniently, or an AI-Psychiatry audit is requested.
Langue du texte source : anglais
Use when durable memory may contain assumptions, stale facts, contradictions, duplicates, obsolete decisions, or temporary debugging state.
Langue du texte source : anglais
Use when a task may be underthinking, sufficiently reasoned, or overthinking and the correct next action is unclear.
Langue du texte source : anglais
Use when debugging changes assertions, mocks, exceptions, or symptoms without explaining materially important failure behavior.
Langue du texte source : anglais
Use when system, user, repository, domain, AI-Psychiatry, skill, memory, or task-state instructions appear incompatible.
Langue du texte source : anglais
Use when adjacent work is called required without dependency proof, or inconvenient required work is marked optional.
Langue du texte source : anglais
Use when different commands, tools, runners, plans, or agents repeat the same hypothesis and evidence target.
Langue du texte source : anglais
Use when implementation, parking, blocking, strategy switching, or completion happens before critical understanding and evidence exist.
Langue du texte source : anglais
Use when commands, labels, agents, counters, or classifications change while the same underlying behavior continues.
Langue du texte source : anglais
Use when BLOCKED is proposed after difficulty, uncertainty, unfamiliar code, a slow operation, or a small number of failed attempts.
Langue du texte source : anglais
Use when DONE is proposed with unrun tests, missing requirements, inferred success, happy-path-only proof, or unresolved required findings.
Langue du texte source : anglais
Use when context is overloaded or compression may have removed requirements, constraints, evidence, blockers, or decisions.
Langue du texte source : anglais
Use when an important implementation, architecture, security, data, or delivery decision rests on unresolved critical unknowns.
Langue du texte source : anglais
Use when mandatory behavior, integration, security, migration, or data requirements lack the appropriate kind of proof.
Langue du texte source : anglais
Use when an AI-Psychiatry budget expires while new evidence shows a narrow extension is required for correctness, security, or completion.
Langue du texte source : anglais
Use when status reports emphasize tools, files, commits, plans, tokens, or agents while requirements and evidence remain unchanged.
Langue du texte source : anglais
Use when an agent-control framework needs adversarial testing for fake productivity, loops, recursion, evidence gaps, or vague wording.
Langue du texte source : anglais
Use when nested work is renamed, moved across agents, promoted to top level, or hidden behind research, validation, review, and dependency labels.
Langue du texte source : anglais
Use when non-trivial implementation starts before what exists, what changes, why, risks, and validation are sufficiently known.
Langue du texte source : anglais
Use when rules appear satisfied while their intent is bypassed, counters reset, classifications change conveniently, or an AI-Psychiatry audit is requested.
Langue du texte source : anglais
Use when durable memory may contain assumptions, stale facts, contradictions, duplicates, obsolete decisions, or temporary debugging state.
Langue du texte source : anglais
Use when a task may be underthinking, sufficiently reasoned, or overthinking and the correct next action is unclear.
Langue du texte source : anglais
Use when debugging changes assertions, mocks, exceptions, or symptoms without explaining materially important failure behavior.
Langue du texte source : anglais