EasyPlatform knowledge-synthesis

[Research] Synthesize research findings into structured report using template. Final step of research workflow.

install
source · Clone the upstream repo
git clone https://github.com/duc01226/EasyPlatform
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/knowledge-synthesis" ~/.claude/skills/duc01226-easyplatform-knowledge-synthesis && rm -rf "$T"
manifest: .claude/skills/knowledge-synthesis/SKILL.md
source content

[IMPORTANT] Use

TaskCreate
to break ALL work into small tasks BEFORE starting.

<!-- SYNC:critical-thinking-mindset -->

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->

AI Mistake Prevention — Failure modes to avoid on every task:

  • Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
  • Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
  • Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
  • Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
  • When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
  • Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
  • Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
  • Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
  • Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
  • Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
<!-- /SYNC:ai-mistake-prevention -->

Quick Summary

Goal: Synthesize evidence base into final structured report using enforced template.

Workflow:

  1. Load evidence — Read evidence base from deep-research
  2. Load template — Read enforced template from .claude/templates/
  3. Synthesize — Write report following template structure
  4. Citation check — Verify every claim has citation
  5. Confidence summary — Aggregate scores, flag gaps

Key Rules:

  • MUST ATTENTION use enforced template structure — all sections required
  • Every factual claim inline-cited:
    [N]
    referencing source table
  • Knowledge gaps section mandatory

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Knowledge Synthesis

Step 1: Load Evidence

Read

.claude/tmp/_evidence-{slug}.md
and
.claude/tmp/_sources-{slug}.md
.

Inventory:

  • Total findings with confidence scores
  • Unresolved discrepancies
  • Remaining gaps

Step 2: Load Template

Read the enforced template:

.claude/templates/research-report-template.md

Every section in the template MUST ATTENTION appear in the final report.

Step 3: Synthesize Report

Write to

docs/knowledge/research/{slug}.md
:

For each template section:

  1. Map relevant findings from evidence base
  2. Write content with inline citations
    [N]
  3. Declare confidence per finding
  4. Note cross-cutting patterns and contradictions in Analysis section

Step 4: Citation Audit

Verify:

  • Every factual claim has at least one
    [N]
    citation
  • Every source in the Sources table is referenced at least once
  • No orphan citations (referencing non-existent source)

Step 5: Confidence Summary

Calculate overall report confidence:

  • Average of all finding confidence scores
  • Weight by finding importance
  • Flag any <60% findings prominently

Output

Final report:

docs/knowledge/research/{descriptive-slug}.md

Clean up working files from

.claude/tmp/
after successful synthesis.


Closing Reminders

  • IMPORTANT MUST ATTENTION break work into small todo tasks using
    TaskCreate
    BEFORE starting
  • IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • IMPORTANT MUST ATTENTION cite
    file:line
    evidence for every claim (confidence >80% to act)
  • IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->