EasyPlatform deep-research

[Research] Deep-dive into top sources from web-research. Extract key findings, cross-validate claims, build evidence base.

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 "$T/.claude/skills/deep-research" ~/.claude/skills/duc01226-easyplatform-deep-research && rm -rf "$T"
manifest: .claude/skills/deep-research/SKILL.md
source content

[IMPORTANT] Use

TaskCreate
to break ALL work into small tasks BEFORE starting.

External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file in

plans/reports/
— prevents context loss and serves as deliverable.

Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires

file:line
proof or traced evidence with confidence percentage (>80% to act, <80% must verify first).

<!-- 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: Deep-dive into top sources, extract key findings, cross-validate claims, build structured evidence base.

Workflow:

  1. Read source map — Load output from web-research step
  2. Fetch top sources — WebFetch top 5-8 Tier 1-2 sources
  3. Extract findings — Pull key facts, data points, quotes
  4. Cross-validate — Compare findings across sources
  5. 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:

  1. Tier 1-2 sources first
  2. High-relevance sources
  3. Sources covering identified gaps

Step 2: Fetch Top Sources

For each priority source (max 8):

  1. Run
    WebFetch
    with the URL
  2. Extract: key claims, data points, quotes, methodology
  3. 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

AskUserQuestion
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:

  1. Activate
    research
    workflow
    (Recommended) — web-research → deep-research → synthesis → review
  2. Execute
    /deep-research
    directly
    — run this skill standalone

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 -->
deep-research — OpenSkillIndex