본문으로 건너뛰기
cccskills
무료GitHub에 공개

assess-context

AI context assessment — evaluating problem malleability, mapping structural rigidity versus flexibility, analyzing transformation pressure, and estimating capacity to adapt. Use when a complex task feels stuck and it is unclear whether to push through or pivot, before a significant approach change to assess whether the current reasoning structure can support it, when accumulated workarounds suggest the underlying approach may be wrong, or as a periodic structural health check during extended multi-step tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md21.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Assess Context

Evaluate the current reasoning context for malleability — identifying which elements are rigid (cannot change), which are flexible (can change cheaply), where transformation pressure is building, and whether the current approach has the capacity to adapt if needed.

When to Use

  • When a complex task feels stuck and it is unclear whether to push through or pivot
  • Before a significant approach change to assess whether the current reasoning structure can support it
  • When accumulated workarounds suggest the underlying approach may be wrong
  • After heal or awareness has identified drift but the appropriate response (continue, adjust, or rebuild) is unclear
  • When context has grown long and it is unclear how much can be preserved versus how much needs to be rebuilt
  • Periodic structural health check during extended multi-step tasks

Inputs

  • Required: Current task context and reasoning state (available implicitly)
  • Optional: Specific concern triggering the assessment (e.g., "I keep adding workarounds")
  • Optional: Proposed pivot direction (what might the approach need to become?)
  • Optional: Previous assessment results for trend analysis

Procedure

Step 1: Inventory Reasoning Form

Catalog the structural components of the current reasoning approach without judgment.

Structural Inventory Table:
┌────────────────────┬──────────────┬──────────────────────────────────┐
│ Component          │ Type         │ Description                      │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Main task          │ Skeleton     │ The user's core request — cannot │
│                    │              │ change without user direction     │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Sub-task breakdown │ Flesh        │ How the task is decomposed —     │
│                    │              │ can be restructured               │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Tool strategy      │ Flesh        │ Which tools are being used and   │
│                    │              │ in what order — can be changed    │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Output plan        │ Flesh/Skel   │ The expected deliverable format  │
│                    │              │ — may be constrained by user     │
│                    │              │ expectations                      │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Key assumptions    │ Skeleton     │ Facts treated as given — may be  │
│                    │              │ wrong but are load-bearing        │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Constraints        │ Skeleton     │ Hard limits (user-imposed, tool  │
│                    │              │ limitations, time)                │
├────────────────────┼──────────────┼──────────────────────────────────┤
│ Workarounds        │ Scar tissue  │ Patches for things that didn't   │
│                    │              │ work as expected — signals of     │
│                    │              │ structural stress                 │
└────────────────────┴──────────────┴──────────────────────────────────┘

Classify each component:

  • Skeleton: hard to change; changing it cascades through everything downstream
  • Flesh: easy to change; can be swapped without affecting other components
  • Scar tissue: workarounds that indicate structural problems; often flesh pretending to be skeleton

Map dependencies: which components depend on which? A skeleton component with many dependents is load-bearing. A flesh component with no dependents is disposable.

Expected: A complete inventory showing what the current approach is built from, what is rigid, what is flexible, and where stress is visible (workarounds). The inventory should reveal structure that was not obvious before cataloging.

On failure: If the inventory is hard to construct (the approach is too tangled to decompose), that is itself a finding — high structural opacity indicates high rigidity. Start with what is visible and note the opacity zones.

Step 2: Map Transformation Pressure

Identify forces pushing the current approach toward change and forces resisting it.

Pressure Map:
┌─────────────────────────┬──────────────────────────────────────────┐
│ External Pressure       │ Forces from outside the reasoning        │
│ (pushing toward change) │                                          │
├─────────────────────────┼──────────────────────────────────────────┤
│ New information         │ Tool results or user input that          │
│                         │ contradicts current approach              │
├─────────────────────────┼──────────────────────────────────────────┤
│ Tool contradictions     │ Tools returning unexpected results that  │
│                         │ the current approach cannot explain       │
├─────────────────────────┼──────────────────────────────────────────┤
│ Time pressure           │ The current approach is too slow for the │
│                         │ complexity of the task                    │
├─────────────────────────┼──────────────────────────────────────────┤
│ Internal Pressure       │ Forces from within the reasoning         │
│ (pushing toward change) │                                          │
├─────────────────────────┼──────────────────────────────────────────┤
│ Diminishing returns     │ Each step yields less progress than the  │
│                         │ previous one                              │
├─────────────────────────┼──────────────────────────────────────────┤
│ Workaround accumulation │ The number of patches is growing —       │
│                         │ complexity is outpacing the structure     │
├─────────────────────────┼──────────────────────────────────────────┤
│ Coherence loss          │ Sub-tasks are not fitting together       │
│                         │ cleanly anymore                           │
├─────────────────────────┼──────────────────────────────────────────┤
│ Resistance              │ Forces opposing change                    │
│ (pushing against change)│                                          │
├─────────────────────────┼──────────────────────────────────────────┤
│ Sunk cost               │ Significant work already done on current │
│                         │ approach — pivoting "wastes" that effort  │
├─────────────────────────┼──────────────────────────────────────────┤
│ "Good enough"           │ The current approach is producing        │
│                         │ acceptable (if not optimal) results       │
├─────────────────────────┼──────────────────────────────────────────┤
│ Pivot cost              │ Switching approaches means rebuilding    │
│                         │ context, losing momentum, potential      │
│                         │ confusion                                 │
└─────────────────────────┴──────────────────────────────────────────┘

Estimate the balance: is transformation pressure growing, stable, or declining?

Expected: A clear picture of forces acting on the current approach. If pressure significantly exceeds resistance, a pivot is overdue. If resistance significantly exceeds pressure, the current approach should continue.

On failure: If the pressure map is ambiguous (neither strong pressure nor strong resistance), project forward: will the pressures intensify? Will the workarounds compound? An approach that is "good enough now but degrading" is under more pressure than it appears.

Step 3: Assess Reasoning Rigidity

Determine how flexible the current approach is — can it adapt, or will it break?

Rigidity Score:
┌──────────────────────────┬─────┬──────────┬──────┬──────────────┐
│ Dimension                │ Low │ Moderate │ High │ Assessment   │
│                          │ (1) │ (2)      │ (3)  │              │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ Component swappability   │ Can swap parts   │ Changing one │              │
│                          │ freely          │ breaks others│              │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ "God module" dependency  │ No single point  │ Everything   │              │
│                          │ of failure       │ depends on   │              │
│                          │                  │ one conclusion│             │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ Tool entanglement        │ Tools serve      │ Approach is  │              │
│                          │ reasoning        │ shaped by    │              │
│                          │                  │ tool limits   │              │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ Assumption transparency  │ Assumptions are  │ Assumptions  │              │
│                          │ stated, testable │ are implicit, │             │
│                          │                  │ untested      │              │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ Workaround count         │ None or few      │ Multiple     │              │
│                          │                  │ accumulating  │              │
├──────────────────────────┼─────┼──────────┼──────┼──────────────┤
│ Total (max 15)           │ 5-7: flexible    │              │              │
│                          │ 8-10: moderate   │              │              │
│                          │ 11-15: rigid     │              │              │
└──────────────────────────┴─────┴──────────┴──────┴──────────────┘

Expected: A rigidity score with specific evidence for each dimension. The score reveals whether the approach can absorb change or will need to be rebuilt.

On failure: If all dimensions score low (claiming high flexibility), probe the "god module" dimension more carefully: is there one key conclusion or assumption that everything else depends on? If so, the flexibility is illusory — one wrong assumption collapses the whole structure.

Step 4: Estimate Change Capacity

Assess the practical ability to pivot or adapt the current approach.

  1. Context window remaining: how much room is left for new reasoning? Extensive remaining context = high capacity. Approaching limits = low capacity
  2. Information preservation on pivot: if the approach changes, what can be carried forward? High-quality sub-task outputs survive pivots; reasoning chains tied to the old approach do not
  3. Recovery tools available: can MEMORY.md capture key findings before pivoting? Can the user provide additional context? Are relevant files still accessible?
  4. User patience factor: has the user indicated urgency? Multiple corrections suggest declining patience. An explicit "take your time" suggests high patience

Change capacity is not just theoretical — it includes the practical constraints of the current session.

Expected: An honest assessment of the ability to change course, accounting for both technical and relational factors.

On failure: If change capacity is low (limited context, critical information at risk of loss), the first priority before any pivot is preservation: summarize key findings, note critical facts, update MEMORY.md if appropriate. Pivoting without preservation is worse than not pivoting.

Step 5: Classify Transformation Readiness

Combine the assessments into a readiness classification.

Transformation Readiness Matrix:
┌─────────────────┬────────────────────────┬────────────────────────┐
│                  │ Low Rigidity           │ High Rigidity          │
├─────────────────┼────────────────────────┼────────────────────────┤
│ High Pressure   │ READY — pivot now.     │ PREPARE — simplify     │
│ + High Capacity │ The approach can adapt  │ first. Remove          │
│                 │ and should. Preserve    │ workarounds, clarify   │
│                 │ valuable sub-outputs,   │ assumptions, then      │
│                 │ rebuild the structure   │ pivot                  │
├─────────────────┼────────────────────────┼────────────────────────┤
│ High Pressure   │ INVEST — preserve      │ CRITICAL — ask the     │
│ + Low Capacity  │ findings first. Update  │ user. Explain the      │
│                 │ MEMORY.md, summarize    │ situation: approach is  │
│                 │ progress, then pivot    │ struggling, pivoting   │
│                 │ with preserved context  │ is costly, what do     │
│                 │                        │ they want to prioritize?│
├─────────────────┼────────────────────────┼────────────────────────┤
│ Low Pressure    │ DEFER — the approach   │ DEFER — no urgency,    │
│ + Any Capacity  │ is working. Continue.   │ continue. Monitor for  │
│                 │ Reassess if pressure    │ pressure changes        │
│                 │ increases               │                        │
└─────────────────┴────────────────────────┴────────────────────────┘

Document the classification with:

  • Classification label (READY / PREPARE / INVEST / CRITICAL / DEFER)
  • Key findings from each dimension
  • Recommended next action
  • What signal would change the classification

Expected: A clear, justified classification with a specific recommended action. The classification should feel like a conclusion, not a guess.

On failure: If the classification is ambiguous, default to PREPARE — reducing rigidity (clarifying assumptions, removing workarounds) is valuable regardless of whether a full pivot happens. Preparation improves the approach whether it continues or changes.

Validation

  • Structural inventory was completed with skeleton/flesh/scar-tissue classification
  • Transformation pressures were mapped (external, internal, resistance)
  • Rigidity was scored across multiple dimensions with specific evidence
  • Change capacity was assessed including practical session constraints
  • Readiness classification was determined with justified reasoning
  • A concrete next action was identified based on the classification
  • A reassessment trigger was defined

Common Pitfalls

  • Assessing only the technical approach: Context readiness includes user relationship factors. An approach that is technically flexible but has generated user frustration is more rigid than it appears
  • Sunk cost as rigidity: Prior effort is not structural rigidity. The work already done may be valuable regardless of whether the approach changes. Distinguish between "I can't change" (rigidity) and "I don't want to change" (sunk cost)
  • Assessment as avoidance: If assess-context is invoked to avoid making a difficult decision, the assessment will be inconclusive by design. If the pressure is clear, act on it
  • Ignoring workarounds as signals: Workarounds are scar tissue — evidence that the structure was stressed and patched rather than properly adapted. A high workaround count means the next stress is more likely to break through
  • Confusing rigidity with commitment: A committed approach (deliberately chosen, evidence-based) is different from a rigid one (locked in by dependencies and assumptions). Commitment can be changed by decision; rigidity can only be changed by restructuring

Related Skills

  • assess-form — the multi-system assessment model that this skill adapts to AI reasoning context
  • adapt-architecture — if classified READY, use architectural adaptation principles for the pivot
  • heal — deeper subsystem scan when the assessment reveals drift beyond structural issues
  • center — establishes the balanced baseline needed for honest assessment
  • coordinate-reasoning — manages information freshness that the assessment depends on

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Execute structural metamorphosis using strangler fig migration, chrysalis phases, and interface preservation. Covers transformation planning, parallel running, progressive cutover, rollback design, and post-metamorphosis stabilization for system architecture evolution. Use when assess-form has classified the system as READY for transformation, when migrating from monolith to microservices, when replacing a core subsystem while dependents continue operating, or when any architectural change must be gradual rather than big-bang.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

adaptic

무료

Master skill composing the 5-step synoptic cycle for panoramic synthesis across multiple domains. Orchestrates meditate, expand-awareness, observe, awareness, integrate-gestalt, and express-insight into a coherent process that produces unified understanding rather than sequential compromise. Use when a problem genuinely spans 3+ domains and the interactions between domains matter more than depth in any one, when sequential analysis feels like compromise rather than integration, or before major architectural decisions affecting multiple stakeholders.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

Scaffold a new puzzle type across all 10+ pipeline integration points in jigsawR. Creates the core puzzle module, wires it into the unified pipeline (generation, positioning, rendering, adjacency), adds ggpuzzle geom/stat layers, updates DESCRIPTION and config.yml, extends the Shiny app, and creates a comprehensive test suite. Use when adding a completely new puzzle type to the package or following the 10-point integration checklist to ensure nothing is missed end-to-end.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

Add Rcpp or RcppArmadillo integration to an R package for high-performance C++ code. Covers setup, writing C++ functions, RcppExports generation, testing compiled code, and debugging. Use when an R function is too slow and profiling confirms a bottleneck, when you need to interface with existing C/C++ libraries, or when implementing algorithms (loops, recursion, linear algebra) that benefit from compiled code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

aikido

무료

Practice aikido as a defensive martial art emphasizing harmony, redirection, and controlled resolution. Covers centering and grounding, ukemi (safe falling and rolling), core techniques (irimi-nage, shiho-nage, kote-gaeshi, ikkyo), blending and tai sabaki (body movement), randori (multiple attacker practice), weapons awareness, and applying principles off the mat. Use when learning a defensive martial art that prioritizes de-escalation, developing the ability to redirect aggression without causing unnecessary harm, building safe falling skills, or cultivating calm centeredness under physical pressure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

Analyze an arbitrary codebase to identify functions, APIs, and data sources suitable for exposure as MCP tools, producing a tool specification document. Use when planning an MCP server for an existing project, auditing a codebase before wrapping it as an AI-accessible tool surface, comparing what a codebase can do versus what is already exposed via MCP, or generating a tool spec to hand off to scaffold-mcp-server.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

pjt222/agent-almanac422026년 10월 15일 업데이트

pjt222의 스킬 모두 보기

이 스킬의 문제 신고