Load Learnings

Hard cap: 15 learnings per session. No exceptions.

Protocol

Step 1 — Semantic query (dual-source)

Skills live in two locations:

• .agents/skills/ — lifecycle, process, quality skills (indexed as skills in CodeGraph)
• .opencode/skill/ — SEO, payments, auth, marketing, CMS, etc. (OpenCode plugin skills)

Source A — CodeGraph semantic search (.agents/skills/):

codegraph_query(
  query: "{current task description in natural language}",
  repo: "skills",
  limit: 20
)

Source B — Direct grep on high-confidence learnings (.opencode/skill/):

grep -r "confidence: [4-9]\|confidence: 10" \
  ".opencode/skill/*/learnings.md" \
  -A 5 -B 10 2>/dev/null | grep -E "problem:|solution:|context:" | head -30

Or for task-specific: search by relevant tags:

grep -rl "tags:.*{tag}" .opencode/skill/*/learnings.md 2>/dev/null | \
  xargs grep -h "problem:\|solution:\|confidence:" 2>/dev/null | head -20

Merge results from both sources before scoring.

Step 2 — Score and filter

For each result, calculate:

score = (confidence × 2)
      + (3 if scope=global OR project matches current project)
      + (2 if last_validated within 5 sessions)
      + (2 if learning belongs to an active skill for this session)

Then apply filters in order:

1. EXCLUDE status: deprecated
2. EXCLUDE status: pending-review unless no better options exist
3. EXCLUDE project-specific learnings from other projects
4. SORT by score descending
5. TAKE top 15

Step 3 — Load into context

For each selected learning, load ONLY these fields:

• context
• problem
• solution
• confidence (as trust signal: 1-3 = tentative, 4-7 = reliable, 8-10 = established)

Do NOT load: id, dates, validated_by, relationships, decay fields. This minimizes context window usage.

Step 4 — Present summary

📚 Loaded {N} learnings for this session:
   🌐 Global ({N}): {brief tag summary}
   📁 Project-specific ({N}): {project name}
   🎯 Skill-specific ({N}): {skill names}

   Highest confidence: L-{id} (confidence: {N})
   Most recent: L-{id} (captured {date})
   
   ⚠️ Tentative (confidence ≤ 2): {N} — treat as suggestions, not rules

When to reload mid-session

• Session shifts significantly from debugging to UI work → reload with new focus
• Project switches → full reload
• Do NOT reload for every small task change — only major context shifts