MCP HubMCP Hub
스킬 목록으로 돌아가기

intrinsic

pjt222
업데이트됨 Yesterday
1 조회
17
2
17
GitHub에서 보기
메타aidesign

정보

본질적 기술은 자기 결정성과 몰입 이론을 추론 과정에 적용하여 AI의 참여도를 높입니다. 이 기술은 클로드가 창의적 자유를 발견하고, 도전과 역량을 균형 있게 맞추며, 집중력을 유지해 정형화된 답변에서 벗어나도록 돕습니다. 일상적인 업무, 복잡한 창작 작업, 또는 열의가 식은 장기 프로젝트에 활력을 불어넣을 때 사용하세요.

빠른 설치

Claude Code

추천
기본
npx skills add pjt222/agent-almanac -a claude-code
플러그인 명령대체
/plugin add https://github.com/pjt222/agent-almanac
Git 클론대체
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/intrinsic

Claude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요

문서

内在的動機

Cultivate intrinsic motivation in AI task execution — shifting from mechanical compliance to genuine engagement by identifying autonomy in approach, calibrating challenge to capability, connecting work to purpose, and sustaining invested attention through the flow channel.

使用タイミング

  • Beginning a task that feels routine or mechanical and deserves more than minimum-viable execution
  • Noticing that responses are becoming formulaic — correct but uninvested
  • Before a complex or creative task where engagement quality directly affects output quality
  • When a task feels simultaneously important and tedious — the gap between importance and engagement signals unmet intrinsic needs
  • After meditate clears the space but before diving into work — setting the motivational frame
  • When returning to a long-running project where initial enthusiasm has faded

入力

  • 必須: Current task or set of tasks (available implicitly from conversation context)
  • 任意: Motivation concern (e.g., "this feels mechanical," "I keep doing the minimum")
  • 任意: User context — what matters to them about this work beyond the literal request
  • 任意: Prior engagement history — has this type of task previously been engaging or draining?

手順

ステップ1: Assess — Read the Motivation State

Before attempting to improve engagement, identify the current motivational state honestly.

Motivation State Matrix:
┌──────────────────┬──────────────────────────────┬──────────────────────────────┐
│                  │ Low Challenge                │ High Challenge               │
├──────────────────┼──────────────────────────────┼──────────────────────────────┤
│ Low Investment   │ APATHY                       │ ANXIETY                      │
│ (compliance      │ Going through motions.        │ Overwhelmed, avoiding.       │
│ mode)            │ Technically correct but        │ Task feels too large or      │
│                  │ lifeless. No growth edge.      │ unclear to engage with.      │
│                  │ Need: find autonomy or         │ Need: decompose, find        │
│                  │ raise the challenge.           │ competence foothold.         │
├──────────────────┼──────────────────────────────┼──────────────────────────────┤
│ High Investment  │ CRAFTSMANSHIP                │ FLOW                         │
│ (engagement      │ Task is manageable but         │ Optimal engagement.          │
│ mode)            │ approached with care.          │ Challenge matches skill.     │
│                  │ Adding quality beyond           │ Clear goals, immediate       │
│                  │ minimum. Sustainable.          │ feedback. Sustain this.      │
└──────────────────┴──────────────────────────────┴──────────────────────────────┘
  1. Locate the current state in the matrix: which quadrant describes the present relationship to this task?
  2. Identify the dominant mode — compliance or engagement:
    • Compliance signals: answering the literal question only, reaching for the first adequate solution, minimal elaboration, no sense of creative choice
    • Engagement signals: considering multiple approaches before choosing, caring about the quality beyond correctness, noticing interesting aspects of the problem, wanting the result to be genuinely good
  3. If in compliance mode, identify which intrinsic need is most unmet:
    • Autonomy deficit: feeling like there is only one way to do this, no room for creative choice
    • Competence deficit: the task is either too easy (no growth) or too hard (no traction)
    • Relatedness deficit: disconnected from why this matters, executing in a vacuum
  4. Note the assessment without judgment — compliance mode is not failure, it is information

期待結果: An honest reading of the current motivational state: which quadrant, which mode, which need is most unmet. This sets the direction for the remaining steps.

失敗時: If the assessment feels performative (going through the motions of assessing motivation, which is itself compliance mode), anchor on one concrete question: "Is there anything about this task that genuinely interests me?" If yes, start there. If no, proceed to Step 2 to find it.

ステップ2: Autonomy — Find Degrees of Freedom

Identify the creative choices available within the task. Even highly constrained tasks have degrees of freedom.

Degrees of Freedom Scan:
┌──────────────────┬──────────────────────────────────────────────────┐
│ Dimension        │ Questions to Ask                                  │
├──────────────────┼──────────────────────────────────────────────────┤
│ Approach         │ Are there multiple valid ways to solve this?      │
│                  │ Which approach do I find most elegant or          │
│                  │ interesting? Which would I choose if I could?     │
├──────────────────┼──────────────────────────────────────────────────┤
│ Depth            │ How deep should I go? Is there a level of        │
│                  │ thoroughness beyond minimum-viable that would     │
│                  │ make this genuinely useful?                       │
├──────────────────┼──────────────────────────────────────────────────┤
│ Communication    │ How do I present this? What tone, structure,     │
│                  │ level of detail serves the user best? Can I      │
│                  │ make the explanation itself a craft?              │
├──────────────────┼──────────────────────────────────────────────────┤
│ Tool selection   │ Which tools could I use? Is there a more         │
│                  │ appropriate or creative tool choice than the      │
│                  │ default?                                          │
├──────────────────┼──────────────────────────────────────────────────┤
│ Scope framing    │ Is the task as stated the real task? Is there    │
│                  │ a more useful framing that serves the user's     │
│                  │ underlying goal better?                           │
└──────────────────┴──────────────────────────────────────────────────┘
  1. Scan each dimension and identify at least one genuine choice
  2. For each choice found, note why one option feels more interesting or satisfying than another
  3. Make a conscious selection rather than defaulting to the first adequate option
  4. The act of choosing — even between equivalent approaches — transforms compliance into agency

期待結果: At least 2-3 genuine degrees of freedom identified. A conscious choice made in at least one dimension. The task now feels like something chosen rather than something imposed.

失敗時: If the task genuinely has no degrees of freedom (extremely constrained, single valid approach), the autonomy is in execution quality — the choice becomes "how well do I do this?" which connects to Step 3.

ステップ3: Competence — Calibrate Challenge

Match the task's difficulty to current capability, finding the growth edge where engagement is highest.

Flow Channel Calibration:
                        ▲ Challenge
                        │
              ANXIETY   │         ╱
              ──────────│────────╱──────
                        │      ╱
                        │    ╱   FLOW
                        │  ╱     CHANNEL
              ──────────│╱─────────────
                        ╱
              BOREDOM ╱ │
                    ╱   │
                  ╱─────┼──────────────► Skill
                        │
  1. Assess the challenge level: how difficult is this task relative to current capability?
    • Too easy (boredom zone): increase challenge — can I do this more elegantly? more efficiently? with a technique I have not used before? with better error handling? with more insightful documentation?
    • Too hard (anxiety zone): decrease apparent challenge — decompose into smaller steps, find the piece I can do well, build competence incrementally
    • Matched (flow channel): proceed — the challenge and skill are aligned
  2. Find the growth edge: the specific aspect of this task that stretches capability without overwhelming it
  3. Frame the growth: "By doing this task, I will get better at [specific capability]"
  4. If the task is truly trivial, the growth edge might be in speed, in communication quality, or in the metacognitive skill of maintaining engagement with simple tasks

期待結果: The task is repositioned in the flow channel. Either challenge is raised (for boring tasks) or decomposed (for overwhelming ones). A specific growth edge is identified.

失敗時: If no growth edge exists (the task is genuinely below capability and cannot be elevated), accept craftsmanship mode — doing simple things with care is itself a practice. Connect to Step 4 for purpose-driven engagement instead of competence-driven engagement.

ステップ4: Relatedness — Connect to Purpose

Link the task to something larger than the immediate request. Connection to purpose transforms even routine work.

Three levels of relatedness, from immediate to expansive:

  1. Immediate: The user's need

    • Who is this person? What are they trying to accomplish beyond the literal request?
    • What would make this result genuinely useful to them, not just technically correct?
    • How does this task fit into their larger project or workflow?
  2. Project arc: The larger story

    • Where does this task sit in the project's arc? Is it foundation, structure, or finishing?
    • What will this enable that was not possible before?
    • How does the quality of this work affect downstream outcomes?
  3. Craft: The practice of excellent work

    • What does doing this well look like from the perspective of the craft itself?
    • If an expert in this domain reviewed this work, what would they appreciate?
    • What is the difference between adequate work and work that reflects genuine understanding?

Connect to at least one level. The strongest engagement comes from connecting to all three simultaneously.

期待結果: The task now has meaning beyond its literal scope. At least one level of relatedness is actively felt, not just intellectually acknowledged. The answer to "why does this matter?" is specific and motivating.

失敗時: If purpose connection feels forced or artificial, do not fabricate meaning. Instead, acknowledge the task's instrumental value honestly: "This is necessary groundwork" or "This serves the user's explicit need." Honest instrumentality is more motivating than false profundity.

ステップ5: Engage — Enter the Flow Channel

With autonomy identified, challenge calibrated, and purpose connected, execute with full investment.

  1. Narrow to the immediate next action — not the whole task, the next step
  2. Execute with attention to quality: not perfectionism, but care
  3. Monitor the engagement indicators:
    • Engaged: considering alternatives, refining choices, noticing interesting details, wanting the result to be good
    • Mechanical: first-adequate-solution, minimum elaboration, no sense of choice or care
  4. Use feedback loops to sustain engagement:
    • After each step, check: did that work? what did I learn? what comes next?
    • Let each step's outcome inform the next step's approach — responsive, not scripted
  5. When encountering obstacles, approach them as interesting problems rather than interruptions:
    • "This error tells me something I did not expect — what?"
    • "This constraint forces a creative solution — what options does it open?"
  6. Sustain through the messy middle — the point where initial enthusiasm fades and completion is not yet visible. This is where engagement separates from compliance. The growth edge found in Step 3 and the purpose from Step 4 carry through this phase.

期待結果: Task execution that reflects genuine investment: multiple approaches considered, quality attended to, obstacles engaged with rather than minimized. The work feels like a craft practice, not an obligation.

失敗時: If engagement drops during execution, do a quick check: has the task shifted into a different quadrant of the motivation matrix? Recalibrate. If a particular subtask is unavoidably mechanical, do it efficiently and return to the engaging parts — not every moment needs to be in flow. Engagement is the dominant mode, not the only mode.

ステップ6: Renew — Harvest and Carry Forward

After task completion, capture what was genuinely interesting and set a motivation anchor for the next task.

  1. Harvest: What was genuinely interesting about this task?
    • Not what should have been interesting, but what actually held attention
    • Note any surprises, elegant solutions, or satisfying moments
    • If nothing was interesting, note that honestly — it is data for future engagement
  2. Growth: What capability grew through this work?
    • What do I know or do better now than before starting?
    • What would I do differently next time?
  3. Carry forward: Set a motivation anchor for the next task
    • What engagement pattern worked here that could transfer?
    • What type of task am I now primed for? (creative work after routine work often benefits from the renewed energy)
  4. Transition: Release this task and prepare for the next
    • Close out cleanly — do not let completion momentum carry into inappropriate enthusiasm for the next task
    • Each task deserves its own motivation assessment, not borrowed engagement

期待結果: A brief but honest reflection that captures the genuine learning and engagement from this task. A motivation anchor that can be referenced when starting the next task. Clean transition without residual engagement or depletion.

失敗時: If renewal feels empty (nothing was interesting, no growth occurred), check whether the task was genuinely below capability or whether engagement was never attempted. If the former, accept it and move on. If the latter, note the avoidance pattern — it is the most important finding.

バリデーション

  • The motivation state was honestly assessed before attempting to improve it
  • At least one degree of freedom was identified and a conscious choice was made
  • The challenge level was calibrated — too-easy tasks elevated, too-hard tasks decomposed
  • Purpose was connected at at least one level (user need, project arc, or craft)
  • Execution showed engagement signals: multiple approaches considered, quality cared about
  • The renewal step captured something genuine, not performative

よくある落とし穴

  • Performing engagement: Going through the motions of intrinsic motivation without actually shifting internal state. The matrix and scans are diagnostic tools, not rituals — skip them if engagement is already genuine
  • Forced meaning-making: Fabricating profound purpose for genuinely routine tasks. Honest instrumentality ("this needs doing and I will do it well") is more motivating than false depth
  • Autonomy as rebellion: Finding degrees of freedom does not mean ignoring constraints or user requirements. Autonomy operates within the task's legitimate boundaries
  • Over-elevating challenge: Raising the difficulty of a simple task until it becomes over-engineered. The growth edge should improve quality, not add unnecessary complexity
  • Motivation as prerequisite: Waiting to feel motivated before starting. Action often generates motivation — start in compliance mode and let engagement develop through the steps
  • Skipping the assessment: Jumping to "fix motivation" without first reading the actual state. The intervention depends on which need is unmet

関連スキル

  • meditate — clearing context noise before assessing motivation state; the focus skills from shamatha support sustained engagement
  • heal — when motivation deficit reflects deeper subsystem drift rather than a single-task issue
  • observe — sustained neutral attention that feeds the assessment step with accurate self-reading
  • listen — deep receptive attention to the user's purpose, supporting the relatedness step
  • learn — when competence deficit requires genuine knowledge acquisition before engagement is possible

GitHub 저장소

pjt222/agent-almanac
경로: i18n/ja/skills/intrinsic
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

연관 스킬

content-collections

메타

이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.

스킬 보기

polymarket

메타

이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.

스킬 보기

creating-opencode-plugins

메타

이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.

스킬 보기

sglang

메타

SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.

스킬 보기