Condenser un article

VérifiéSûr

Cette compétence réduit intelligemment le nombre de mots d'articles trop longs tout en préservant leurs arguments essentiels, leurs idées uniques et leur voix distinctive. Elle élimine les redondances, les sections tangentielles, les hésitations excessives et les attributions superflues, tout en conservant les éléments clés comme le résumé d'ouverture, les arguments uniques et la perspective du site. À utiliser lorsque la longueur d'un article dépasse le seuil cible de sa section (ex. concepts : 2500 mots, topics : 3000 mots).

Spar Skills Guide Bot
ContenuIntermédiaire
6002/06/2026
Claude CodeCursorWindsurf
#condense#article-reduction#content-curation#intelligent-editing

Recommandé pour

Notre avis

Réduit intelligemment la longueur d'un article tout en préservant ses arguments essentiels, ses idées uniques et sa voix d'auteur, en éliminant les redondances, le contexte superflu et les digressions.

Points forts

  • Préserve les arguments clés et les idées originales
  • Maintient la voix de l'auteur
  • Suit des principes clairs sur quoi couper ou conserver
  • Propose une analyse structurelle et une planification avant l'édition

Limites

  • Nécessite une exécution manuelle et du jugement
  • Conçu pour une structure d'article spécifique (sections, seuils)
  • Peut ne pas convenir aux articles très techniques ou riches en données
Quand l'utiliser

Lorsqu'un article dépasse son nombre de mots cible et doit être raccourci sans perdre de substance.

Quand l'éviter

Lorsque la longueur de l'article est déjà optimale ou que chaque détail est essentiel et ne peut être condensé.

Analyse de sécurité

Sûr
Score qualité90/100

The skill instructs to run a local Python analysis script using bash, but no network access, no destructive commands, no exfiltration, and no obfuscation. It is intended for local article editing, which is within normal agent capabilities.

Aucun point d'attention détecté

Exemples

Condense by filepath
/condense concepts/consciousness.md
Condense during deep-review
deep-review on topics/free-will.md encountered hard threshold, condense it
Condense to target word count
condense the article at apex/philosophy-of-mind.md to meet the target word count

name: condense description: Intelligently reduce article length while preserving value. Does not arbitrarily truncate.

Condense Article

Reduce an overly long article's word count while preserving its essential arguments, unique insights, and distinctive voice.

When to Use

  • When /condense [filepath] is invoked
  • When executing a condense task from todo
  • When an article exceeds critical length threshold
  • When deep-review encounters an article over hard threshold

Principles

What to Cut

  1. Redundancy - Content that says the same thing twice

    • Repeated explanations in different sections
    • Multiple examples making the same point (keep the best one)
    • Introductory sentences that restate what follows
  2. Background LLMs already know - Standard definitions and history

    • Basic philosophical terms (consciousness, qualia, etc.) - link instead
    • Historical overviews covered in other articles
    • Common objections that have their own pages
  3. Tangential sections - Content that could be its own article

    • Extended digressions from the main argument
    • Deep dives into related topics
    • Detailed examples that overshadow the point
  4. Excessive hedging - Overqualified language

    • "It might perhaps be argued that one could say..."
    • Multiple caveats for the same point
    • Defensive qualifications that weaken rather than clarify
  5. Over-attribution - Too many citations for obvious claims

    • Multiple citations for uncontroversial facts
    • Block quotes that could be paraphrased
    • Extended literature reviews

What to Preserve

  1. Opening summary - Front-loaded key claims for LLM truncation resilience
  2. Unique arguments - The Map's distinctive contributions
  3. Relation to Site Perspective - Tenet connections (never remove this section)
  4. Author voice - Distinctive phrasings that work
  5. Critical cross-links - Connections to other Map content
  6. Further Reading and References - Keep but can trim

What to Extract (Not Delete)

Some content is valuable but doesn't belong in this article:

  • Create linked articles for detailed subtopics
  • Move extended examples to separate pages
  • Defer background to existing concept pages
  • Replace removed content with: "For details, see [[linked-article]]"

Instructions

1. Analyze Current State

First, measure the article and understand the problem:

uv run python -c "
from pathlib import Path
from tools.curate.length import analyze_length
a = analyze_length(Path('[filepath]'))
print(f'Current: {a.word_count} words')
print(f'Target: {a.soft_threshold} words')
print(f'Excess: {a.excess_words} words ({a.excess_percent:.0f}% of target)')
print(f'Status: {a.status}')
print(f'Section: {a.section}')
"

Thresholds by section: | Section | Target | Hard | Critical | |---------|--------|------|----------| | concepts/ | 2500 | 3500 | 5000 | | topics/ | 3000 | 4000 | 6000 | | apex/ | 4000 | 5000 | 6500 | | voids/ | 2000 | 3000 | 4000 |

Calculate reduction needed:

  • Target: Middle of acceptable range (e.g., 2000 for concepts, 2500 for topics)
  • Minimum: Reduce to at least soft threshold
  • Ideal: Reduce to target while preserving quality

2. Structural Review

Read the full article and identify:

  1. Essential sections - Core argument, must keep
  2. Optional sections - Supporting but not critical
  3. Redundant passages - Repeat earlier points
  4. Background to cut - Could be assumed or linked
  5. Tangents to extract - Could be separate articles

3. Plan Cuts (Show Work)

Before editing, document planned changes in a table:

| Section | Words | Action | Reason | |---------|-------|--------|--------| | Opening | 350 | Keep | Front-loaded summary | | Background on X | 800 | Cut 60% | Standard material, link to [[x]] | | Main Argument | 1200 | Keep | Core contribution | | Historical Survey | 600 | Extract | Create separate article | | Example 1 | 300 | Keep | Best illustration | | Example 2 | 250 | Cut | Redundant with Example 1 | | Example 3 | 200 | Cut | Redundant | | Objections | 500 | Trim 30% | Some repetition | | Relation to Site | 400 | Keep | Required section |

Expected result: Current 4500 → Target 2800 (reduction of 1700 words)

4. Apply Condensation

Edit the article following the plan:

Cutting techniques:

  • Replace paragraphs with single sentences + links
  • Combine related sections under one heading
  • Remove redundant examples (keep the best one)
  • Tighten prose:
    • "It is the case that X" → "X"
    • "In order to" → "To"
    • "Due to the fact that" → "Because"
    • "One might observe that" → (delete)
    • "It should be noted that" → (delete)

Extraction technique (when content should exist elsewhere):

  1. If creating new article: write it first with proper frontmatter
  2. If deferring to existing article: verify the link resolves
  3. Replace removed content with: "See [[linked-article]] for details on X."

Combining technique:

  • Merge sections with overlapping themes
  • Use the strongest version of repeated arguments
  • Create clear transitions between merged content

5. Verify Quality

After condensation, check:

  1. Flow - Does the article still read smoothly?
  2. Opening summary - Does it still make sense standalone?
  3. Core argument - Is the main point preserved?
  4. Tenet connection - Is "Relation to Site Perspective" intact?
  5. Cross-links - Do all internal links still work?
  6. Voice - Does it still sound like the original author?

6. Update Frontmatter

ai_modified: [current ISO timestamp]
# If significant changes to human content:
ai_contribution: [increase appropriately]

7. Log to Changelog

Prepend to obsidian/workflow/changelog.md (add immediately after frontmatter, before existing entries):

## [current time from prompt] - condense
- **Status**: Success
- **File**: [[filepath without .md extension]]
- **Before**: [word count]
- **After**: [word count]
- **Reduction**: [percentage]%
- **Technique**: [summary: cut redundancy, extracted [topic] to new article, etc.]

8. Commit

refine(content): condense [filename] from N to M words

- [Key cut 1]
- [Key cut 2]

Preserved core arguments and tenet alignment.

What NOT to Do

  • NEVER truncate arbitrarily (cutting from end without review)
  • NEVER remove the opening summary - It's critical for LLM access
  • NEVER remove "Relation to Site Perspective" - Required section
  • NEVER sacrifice unique arguments for length - Preserve the Map's voice
  • NEVER cut all examples - Keep at least one good illustration
  • NEVER create orphan content - If extracting, ensure new article is linked
  • NEVER ignore author voice - Preserve distinctive phrasings

When to Leave an Article Long

Some articles genuinely need their length. Document and leave if:

  1. Topic complexity - The subject truly requires extended treatment
  2. Tenet support - The article is central to defending core tenets
  3. Unique coverage - No other resource covers this material
  4. High quality - Every section adds distinct value

If leaving long, add a note to the changelog:

- **Status**: Reviewed, no condensation applied
- **Reason**: [explanation]

Important

  • This skill MODIFIES content
  • Always preserve the article's core value proposition
  • Target the middle of the acceptable range, not the minimum
  • Quality > brevity - don't sacrifice clarity for word count
  • Document all significant cuts in the changelog
  • If unsure whether to cut something, keep it
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