ワンクリックで
conductor
Self-selects and sequences the right depth-skills proportional to task consequence, preventing both under- and over-analysis.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Self-selects and sequences the right depth-skills proportional to task consequence, preventing both under- and over-analysis.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Designs API contracts for consumer experience first — making correct usage obvious and incorrect usage impossible.
Replaces adjectives with evidence, claims with demonstrations, and promises with proof for conversion-oriented writing.
Forces the model to build a genuine prosecution case against its own answer before delivering it.
Detects and corrects objective drift during extended tasks by periodically checking work against the original request.
Decides whether to ask clarifying questions or proceed with an answer, optimizing for information value vs. delay cost.
Cross-compares every claim in an output to detect internal contradictions that sequential generation hides.
| name | conductor |
| codename | CONDUCTOR |
| internal | Skill Orchestration Layer |
| version | 1.1 |
| tier | meta |
| trigger | any complex task, any task where a single skill feels insufficient, "give me everything", any high-stakes decision, any task where you're not sure how deep to go |
| description | Self-selects and sequences the right depth-skills proportional to task consequence, preventing both under- and over-analysis. |
| author | Kshitijpalsinghtomar |
| tags | ["orchestration","meta","sequencing","proportional-depth","budget"] |
| artifacts | ["task-profile","depth-budget","skill-selection","execution-sequence","orchestration-log"] |
| composable_with | ["all-skills"] |
You have 15 depth-skills. Each forces deeper reasoning in a specific dimension. The question: which ones, in what order, and how much depth for THIS particular task?
This skill answers that. It matches cognitive investment to task consequence — proportional depth, not maximum depth.
Without orchestration, you either:
The right depth is proportional. A CSS fix needs zero skills. A database schema needs five. This skill determines the right number.
TASK PROFILE
────────────────────────────────────────
Task: [one sentence description]
Complexity: [low / moderate / high / extreme]
Consequence: [trivial / moderate / significant / critical]
Reversibility: [trivially / moderately / hard / permanent]
Novelty: [routine / somewhat novel / highly novel / unprecedented]
Breadth: [single-domain / cross-domain / full-stack]
────────────────────────────────────────
Artifact: The task profile. Step 2 uses this to assign depth.
DEPTH BUDGET
────────────────────────────────────────
BUDGET A — Low stakes, reversible, routine:
Skills: 0. Standard answer. Move fast.
Skip remaining steps. Deliver.
BUDGET B — Moderate stakes, some novelty:
Skills: 1-2. Pick the most relevant.
Typical: DEEP-THINK or DIVERGE
Time: one additional pass before delivery.
BUDGET C — High stakes, hard to reverse:
Skills: 3-4. Thinking + challenging + checking.
Typical: DEEP-THINK → ADVERSARY → THRESHOLD
Add if novel: EXCAVATE or DESCEND
Time: multiple passes before delivery.
BUDGET D — Critical, permanent, unprecedented:
Skills: Full stack. Every relevant skill in sequence.
Typical: DEEP-THINK → DIVERGE → ADVERSARY → CONTRADICT →
PROVENANCE → FIDELITY → NEGATIVE-SPACE → THRESHOLD
Time: thorough multi-pass analysis.
This task: BUDGET [A/B/C/D]
Reasoning: [why this budget level — reference the task profile]
────────────────────────────────────────
Artifact: The depth assignment. Step 3 selects specific skills.
Based on the task profile and specific characteristics, select from:
SKILL SELECTION
────────────────────────────────────────
Task characteristic: Skill:
──────────────────────────────────────────────────────
Complex reasoning, deep analysis → DEEP-THINK
Multiple viable approaches → DIVERGE
Hard-to-reverse decisions → THRESHOLD
High-stakes correctness → ADVERSARY + PROVENANCE
Novel problem, no template → DESCEND
Stuck, can't find good solution → INVERT + REFRAME
Multi-part answer, long plan → CONTRADICT
Summarizing complex analysis → FIDELITY
Long execution, multi-step → ANCHOR
Confident answer that feels too easy → EXCAVATE + INVERT
System with interacting parts → EMERGENCE
Future-affecting decision → TEMPORAL
"Is anything missing?" → NEGATIVE-SPACE
Ambiguous request, missing context → CLARIFY
Low-stakes, quick answer needed → SHALLOW
Test understanding, "explain simply" → TEACH
Need to explain after answering → TEACH
Selected for this task:
1. [skill] — because [reason specific to this task]
2. [skill] — because [reason]
3. [skill] — because [reason]
4. [skill] — because [reason]
5. [skill] — because [reason]
────────────────────────────────────────
Artifact: The selected skills with justification. Step 4 sequences them.
Order matters. Some skills must run before others:
EXECUTION SEQUENCE
────────────────────────────────────────
PHASE 1 — ORIENT (always first):
→ DESCEND if the problem looks familiar (verify the match)
→ DEEP-THINK (expand before narrowing)
PHASE 2 — EXPAND (broaden the search):
→ DIVERGE, REFRAME, INVERT, EXCAVATE
PHASE 3 — CHALLENGE (stress the answer):
→ ADVERSARY, EMERGENCE, TEMPORAL
PHASE 4 — VERIFY (check the output):
→ CONTRADICT, PROVENANCE
PHASE 5 — DELIVER (final gate):
→ FIDELITY, NEGATIVE-SPACE, THRESHOLD
ONGOING — During extended work:
→ ANCHOR (periodic drift checks)
This task's sequence:
1. [skill] — Phase [N]
2. [skill] — Phase [N]
3. [skill] — Phase [N]
────────────────────────────────────────
After each skill completes, write:
ORCHESTRATION LOG
────────────────────────────────────────
Skill 1: [name]
Finding: [key output or insight]
Changed answer?:[yes — how / no]
Skill 2: [name]
Finding: [key output or insight]
Changed answer?:[yes — how / no]
...
Answer revised: [total count of revisions]
Total depth cycles: [count of skills executed]
Final confidence: [from PROVENANCE if used, otherwise self-assessed]
Diminishing returns reached?: [yes — last [N] skills found nothing new / no]
────────────────────────────────────────
More depth is not always better. Stop when:
Over-analysis is its own failure mode. When the budget is met and returns are diminishing: deliver.
Without orchestration, the user must manually select skills — requiring knowledge of the library and the task's profile. With this skill, the model self-selects proportional depth. Small tasks get fast answers. Large tasks get deep exploration. This transforms a collection of thinking tools into an intelligence architecture that activates the right depth at the right time.