Project Knowledge Base Ingestion

Turn PDFs, links, and documents into reusable, cited project knowledge with a topic index and honest coverage notes.

Research & Data / Researchknowledge-managementdocument-ingestion
by AgentVoltv1.0.0
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Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Convert fitness research papers into searchable project knowledge base.”
Beforegeneric AI agent
You could take the PDFs you have and summarize them yourself. You might go through each one and pull out the key points, then organize them by topic. You'd want to create a structure that makes sense for how you'd want to search through the information later. You could use a spreadsheet or a note-taking app to store this information. When you need to find something, you'd search your notes. It requires some work upfront but makes finding information easier later. Different organizational systems work for different people depending on your needs.
Afterwith Project Knowledge Base Ingestion
KNOWLEDGE BASE INGESTION RESULT

SOURCES INGESTED
→ Paper 1: "Periodized Resistance Training Outcomes" (Journal of Strength, 45 pages)
→ Paper 2: "Protein Timing and Muscle Protein Synthesis" (Sports Medicine, 32 pages)
→ Paper 3: "Recovery Modalities Effectiveness Meta-Analysis" (Physiology Review, 38 pages)

KEY CONCEPTS EXTRACTED

RESISTANCE TRAINING
→ Linear periodization (weekly intensity blocks) produces 23% strength gain vs 8% constant load
→ Deload week every 4-6 weeks prevents overuse injury (studied 120 athletes)
→ RPE (rate of perceived exertion) scales track fatigue more reliably than volume
→ Neural adaptation phase: weeks 1-4, hypertrophy phase: weeks 5-8

PROTEIN & RECOVERY
→ Post-workout protein window: 30-120 minute window (within 2hr optimal)
→ Protein dose: 0.3-0.4g per kg body weight per meal for synthesis stimulation
→ Sleep quality beats sleep duration: REM sleep 25-30% correlates to recovery
→ Inflammation markers (IL-6, CRP) peak day 2-3 post-resistance session

DERIVED PROTOCOLS
→ Periodization template: 4-week block planning tool (ready to use)
→ Nutrition timing checklist: pre/during/post guidelines per session type
→ Recovery tracking sheet: sleep, inflammation, soreness scores

SEARCH STRUCTURE
→ Keyword index: "periodization", "protein timing", "neural adaptation"
→ Concept links: strength/hypertrophy/endurance cross-referenced
→ Original sources tagged (you can verify claims against PDFs)

REUSE BENEFIT
→ Future questions: "What does research say about deloads?" retrieves exact section + citation
→ No re-reading full papers; instant sourced answers
→ Build on this layer: add new papers incrementally, knowledge compounds

About this skill

“I already gave you that report” should not mean another full read. This skill turns PDFs, links, and documents into compact, cited knowledge records that a future session can navigate by topic. It distinguishes saved files from chat-only drafts and makes missing pages, unreadable tables, and uncertain claims visible.

What it does

  • Builds a source inventory with titles, dates, versions, access limits, and stable source IDs.
  • Extracts claims, definitions, procedures, exceptions, and numerical findings with precise source locations.
  • Preserves units, denominators, conditions, and disagreements that ordinary summaries flatten away.
  • Creates a topic index that points directly to relevant sections of saved source records.
  • Detects duplicate sources and handles revisions without silently replacing earlier evidence.
  • Checks saved content and tries representative retrieval questions before reporting completion.

What you get

A project knowledge index and structured source records, saved and read back when file access permits. Otherwise, you receive ready-to-save content with the unsaved status stated explicitly, plus coverage notes and unresolved gaps.

Best for

Researchers, analysts, and project teams who repeatedly consult reports, manuals, articles, or transcripts and need traceable answers across sessions.

SKILL.md preview

SKILL.md
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name: project-knowledge-base-ingestion
description: >-

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