Marketplace

academic-reading-workflow

Systematic blueprint for reading and annotating academic papers with searchable notes, explicit constraints, and quality gates.

allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: sonnet

$ 安裝

git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/research/academic-reading-workflow ~/.claude/skills/context-cascade

// tip: Run this command in your terminal to install the skill


name: academic-reading-workflow description: Systematic blueprint for reading and annotating academic papers with searchable notes, explicit constraints, and quality gates. allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite model: sonnet x-version: 3.2.0 x-category: research x-vcl-compliance: v3.1.1 x-cognitive-frames:

  • HON
  • MOR
  • COM
  • CLS
  • EVD
  • ASP
  • SPC

STANDARD OPERATING PROCEDURE

Purpose

  • Run a disciplined, repeatable paper-reading workflow that produces searchable annotations and evidence for downstream writing.
  • Apply prompt-architect refinements to surface constraints, guard against overclaiming, and keep outputs English-only with explicit ceilings.
  • Preserve skill-forge structure-first requirements: SKILL.md + README + examples + references; log any gaps.

Trigger Conditions

  • Positive: requests to read, digest, or annotate academic papers/books; build citation-ready notes; turn readings into evidence.
  • Negative: casual skimming or non-research entertainment; route targeted prompt crafting to prompt-architect.

Guardrails

  • Extract constraints in three classes: HARD (must satisfy), SOFT (should), INFERRED (flag for confirmation) with sources cited.
  • Run the two-pass refinement loop: (1) structure/coverage; (2) epistemic/confidence calibration.
  • Enforce confidence ceilings: inference/report 0.70; research 0.85; observation/definition 0.95. State ceiling explicitly in every response.
  • Maintain evidential trail: cite sections/pages for each insight; avoid verbatim quotes unless necessary.

Inputs

  • Source details (title, authors, venue/year, access links).
  • Research question or goal for the reading block.
  • Time/length constraints and output format for notes.

Workflow

  1. Intent & Constraint Scan: Capture the research question, success criteria, and the three constraint classes; confirm INFERRED items before proceeding.
  2. Plan the Passes: Outline skim → detailed read → consolidation; define note schema (summary, claim, evidence, page, keyword tags).
  3. Pass 1 – Structural Read: Map structure, thesis, methods, key figures/tables. Log HARD coverage gaps.
  4. Pass 2 – Evidence Pass: Extract claims with page anchors, record confidence per claim, and tag uncertainties for follow-up.
  5. Synthesize & Validate: Cluster notes by theme, mark contradictions, and run a self-check against constraints and quality gates (searchability, completeness, bias).
  6. Package Deliverables: Produce annotated notes (Markdown), a findings digest, and open questions; store with project-level tags for recall.

Validation & Quality Gates

  • Notes include source/page anchors and keyword tags; duplicates merged.
  • Minimum two passes completed with documented deltas between passes.
  • INFERRED constraints resolved or explicitly flagged.
  • Deliverables saved alongside README, examples, and references when available.

Response Template

**Intent & Constraints**
- HARD: ...
- SOFT: ...
- INFERRED (confirm): ...

**Plan**
- Pass design and note schema.

**Findings & Evidence**
- Claim → evidence (page/link) → confidence ceiling.
- Gaps / follow-ups.

**Deliverables**
- Notes: <location>
- Digest: <summary bullets>

Confidence: 0.78 (ceiling: inference 0.70) - based on structured review of provided sources.

Confidence: 0.78 (ceiling: inference 0.70) - Template assumes structured reading completed with evidential anchors.