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deep-research

Run a deep, source-backed research query via DeepAPI (go to deepapi.co to get an API key) POST /v1/research/deep. Builds a rigorous one-paragraph research prompt (per research-prompt rules), fires it, and saves a cited markdown report. Use when the user asks for "deep research", "deepapi research", "perplexity deep research" (legacy trigger), or any deep source-backed research run. Differentiator vs the deepapi skill: this is the full research workflow (prompt + run + report file), not raw endpoint access.

80

Quality

100%

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, executable workflow with concrete commands, explicit status validation, and well-structured failure-mode recovery. It assumes Claude's intelligence, avoids padding, and stays self-contained without needing bundle files.

DimensionReasoningScore

Conciseness

Lean and assumes Claude's competence — no explanations of what an API or idempotency is; every line earns its place (key-loading gotcha, field limits, failure-mode recovery). Not the verbose score-1 anchor and tighter than the score-2 'good library' padding.

3 / 3

Actionability

Provides fully executable, copy-paste bash/jq/curl snippets (uuidgen, jq --rawfile, curl with headers) plus concrete jq parse commands — matching the 'fully executable code/commands' anchor, not pseudocode.

3 / 3

Workflow Clarity

Clear three-step sequence (build prompt → run → read report) with an explicit validation checkpoint ('jq -r .status' succeeded|failed) and error-recovery feedback loops (402 top-up + replay-safe retry, 429 Retry-After, 502 report-and-stop), exceeding the score-2 'steps listed but checkpoints missing' anchor.

3 / 3

Progressive Disclosure

No bundle files exist, and this single-file skill is well-organized into focused sections with one-level references out to the deepapi and research-prompt skills; per the simple-skill scoring note, well-organized single-file content scores 3 here.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that states concrete capabilities, natural trigger terms, and an explicit 'Use when' clause, while explicitly distinguishing itself from the related deepapi skill. No over-claims or filler.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Builds a rigorous one-paragraph research prompt', 'fires it', 'saves a cited markdown report', 'POST /v1/research/deep' — matching the 'multiple specific concrete actions' anchor rather than the partial score-2 list.

3 / 3

Completeness

Explicitly answers both what (build prompt, fire, save cited report) and when ('Use when the user asks for ...'), with an explicit trigger clause, so it clears the completeness cap of 2.

3 / 3

Trigger Term Quality

Covers natural user phrasings — "deep research", "deepapi research", "perplexity deep research" (legacy), and 'deep source-backed research run' — giving good coverage of terms a user would actually say, not just jargon.

3 / 3

Distinctiveness Conflict Risk

Explicit differentiator ('this is the full research workflow ... not raw endpoint access') plus distinct deep-research triggers carve a clear niche unlikely to fire for the sibling deepapi skill.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mishatojk/davidskills
Reviewed

Table of Contents

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