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lead-intelligence

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

65

Quality

78%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/lead-intelligence/SKILL.md

The canonical home for this skill is tdg-personal/lead-intelligence

SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-5

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

The body is concrete and reasonably concise with a clear staged pipeline, but it is held back by missing validation/feedback loops on a batch operation and by references to bundle files and an agents/ directory that do not exist.

Suggestions

Add an explicit validation checkpoint to the outreach stage (e.g., review drafted messages against the lead record and anti-pattern list, fix, and re-check before presenting to the user) to satisfy the feedback-loop requirement for batch operations.

Either create the referenced agents/ subdirectory files (signal-scorer, mutual-mapper, enrichment-agent, outreach-drafter) or remove the 'Agents' section so navigation is not broken.

Materialize the related-skill references (brand-voice, connections-optimizer, social-graph-ranker) as real navigable pointers or drop them to one-line mentions so progressive disclosure is one level deep and resolvable.

DimensionReasoningScore

Conciseness

Largely efficient tables, factor weights, and concrete lists with no concept-explaining fluff, but carries minor padding in competitor framing and repeated channel rationale that could be trimmed.

4 / 5

Actionability

Provides executable signal-search Python, env-var setup, explicit bridge formulas, and per-channel rules, with only minor gaps such as the X API call using a placeholder function without imports.

4 / 5

Workflow Clarity

The 5-stage pipeline is clearly sequenced with a diagram, but this is a batch outreach operation with no explicit validate→fix→retry checkpoints on the batch output, which caps workflow clarity at 3 per the rubric's feedback-loop rule.

3 / 5

Progressive Disclosure

The body signals an agents/ subdirectory and related skills (brand-voice, connections-optimizer, social-graph-ranker), but no references/scripts/assets bundle exists and the agents/ directory is absent, so the cross-file structure referenced for navigation is not materialized.

3 / 5

Total

14

/

20

Passed

Description

92%Weight 40%Scale 1-5

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

The description is specific, complete, and well-differentiated, clearly stating both capabilities and an explicit 'Use when...' trigger. It loses only a point on trigger-term quality for a few natural phrasings that appear in the body but not the description itself.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X' — with comprehensive coverage of the pipeline's capabilities.

5 / 5

Completeness

Explicitly answers both 'what' (the enumerated pipeline actions) and 'when' via a clear 'Use when the user wants to find, qualify, and reach high-value contacts' clause.

5 / 5

Trigger Term Quality

'Use when the user wants to find, qualify, and reach high-value contacts' plus named competitors (Apollo, Clay, ZoomInfo) give good natural trigger coverage, but some common phrasings like 'warm intros' or 'lead list' live only in the body, not the description.

4 / 5

Distinctiveness Conflict Risk

Carves a clear niche — agent-powered lead intelligence and outreach — and names the incumbent tools it replaces, giving it distinct triggers with minimal overlap risk.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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