EasyPlatform deep-research
[Research] Deep-dive into top sources from web-research. Extract key findings, cross-validate claims, build evidence base.
git clone https://github.com/duc01226/EasyPlatform
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/deep-research" ~/.claude/skills/duc01226-easyplatform-deep-research && rm -rf "$T"
.claude/skills/deep-research/SKILL.md[IMPORTANT] Use
to break ALL work into small tasks BEFORE starting.TaskCreate
External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file in
— prevents context loss and serves as deliverable.plans/reports/
<!-- SYNC:critical-thinking-mindset -->Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires
proof or traced evidence with confidence percentage (>80% to act, <80% must verify first).file:line
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->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: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.
Quick Summary
Goal: Deep-dive into top sources, extract key findings, cross-validate claims, build structured evidence base.
Workflow:
- Read source map — Load output from web-research step
- Fetch top sources — WebFetch top 5-8 Tier 1-2 sources
- Extract findings — Pull key facts, data points, quotes
- Cross-validate — Compare findings across sources
- Build evidence base — Structured findings with confidence scores
Key Rules:
- Maximum 8 WebFetch calls per invocation
- Every finding must cite specific source
- Conflicting claims → present both, flag discrepancy
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Deep Research
Step 1: Load Source Map
Read the source map from
.claude/tmp/_sources-{slug}.md (output of web-research step).
Prioritize sources for deep-dive:
- Tier 1-2 sources first
- High-relevance sources
- Sources covering identified gaps
Step 2: Fetch Top Sources
For each priority source (max 8):
- Run
with the URLWebFetch - Extract: key claims, data points, quotes, methodology
- Note: publication date, author credentials, source type
Step 3: Extract Findings
For each source, extract:
- Key claims — factual statements with specific data
- Data points — numbers, percentages, dates
- Quotes — notable expert statements
- Methodology — how data was gathered (for market reports)
Step 4: Cross-Validate
Compare findings across sources:
- Agreement — 2+ sources say the same thing → high confidence
- Discrepancy — sources disagree → note both positions
- Unique — only 1 source → mark as "single source, unverified"
Step 5: Build Evidence Base
Write to
.claude/tmp/_evidence-{slug}.md:
# Evidence Base: {Topic} **Date:** {date} **Sources analyzed:** {count} ## Findings ### Finding 1: {Title} **Confidence:** {95%|80%|60%|<60%} **Sources:** [1], [3] **Content:** {finding with inline citations} **Cross-validation:** {agreement/discrepancy notes} ## Unresolved Discrepancies - {claim X from source A vs claim Y from source B} ## Gaps Remaining - {what couldn't be verified}
Workflow Recommendation
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS: If you are NOT already in a workflow, you MUST ATTENTION use
to ask the user. Do NOT judge task complexity or decide this is "simple enough to skip" — the user decides whether to use a workflow, not you:AskUserQuestion
- Activate
workflow (Recommended) — web-research → deep-research → synthesis → reviewresearch- Execute
directly — run this skill standalone/deep-research
Next Steps
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS after completing this skill, you MUST ATTENTION use
AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:
- "/business-evaluation (Recommended)" — Evaluate business viability from research
- "/knowledge-synthesis" — If synthesizing research report
- "Skip, continue manually" — user decides
Closing Reminders
MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
TaskCreate BEFORE starting.
MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide.
MANDATORY 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 -->