technical-execution

SkillDev tools

Technical execution timing, entry exit signals, price action analysis, volume profile, market structure, support resistance levels, trend identification, Wyckoff method, auction market theory, trade management timing, position entry exit optimization

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the technical-execution skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/options-derivatives/skills/agentii/technical-execution/SKILL.md and read by ahel’s review.

Defaults

ParameterDefault ValueRationale
parameter_freetrueThis skill has no tunable parameters; analysis scope set by temporal_scope frontmatter

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query knowledge entries for relevant frameworks; query search_by_analogue for historical cases.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

See ## Protocol section below.

Technical Execution (Entry/Exit Timing)

CRITICAL CONSTRAINT (FR-021): Technical analysis is NOT a trade initiator. Investment ideas originate from L1 (macro), L2 (fundamental), or L3 (strategy). This skill serves ONLY entry/exit timing — when to buy, when to sell, how to manage the position. Never use technical patterns as the primary reason to enter a trade.

Preflight

Run the canonical pre-flight sequence. See contracts/preflight.md. Verify the analysis request has an existing investment thesis from L1/L2/L3 before proceeding.

Protocol

  1. Thesis Anchoring — identify the originating investment thesis (which L1/L2/L3 skill produced it)
  2. Entry Timing — apply L4 frameworks (Wyckoff, Market Profile, volume analysis) to optimize entry
  3. Exit Planning — define profit targets and stop levels based on market structure
  4. Trade Management — scaling in/out plan, position adjustment triggers

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Query gold.knowledge_entries for frameworks; query search_by_analogue for historical cases.

Temporal Scope

See frontmatter temporal_scope.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

See ## Protocol section below.

Output File

{ticker}/{YYYY-MM-DD_HHMM}_technical-execution_{affix}.md

Output Structure

  1. Executive Summary — key findings in 2-3 sentences
  2. Framework Analysis — applied frameworks with specific findings
  3. Quantitative Metrics — relevant calculations and benchmarks
  4. Historical Analogues — matched cases with citations
  5. Risk Assessment — key risk factors and mitigants
  6. Coverage Gaps — data limitations and degraded flags
  7. Originating Thesis Reference 2. Entry Analysis 3. Exit Plan 4. Trade Management 5. Risk Controls

Error Handling

| No originating thesis from L1/L2/L3 | HALT — do not proceed; technical analysis is not a trade initiator |

Final Summary (TUI)

Include ### Key Citations block (0–10 /v/ URLs).

Memory Load

Load prior context before retrieval. See contracts/memory-load.md.

Snapshot

Post-session synthesis. See contracts/snapshot-synthesis.md.

Output Frontmatter

Structured output per contracts/output-frontmatter-schema.md.

References

references/knowledge-frameworks.md, contracts/citation-and-memory.md

Signals

GitHub stars
204
Forks
16
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
technical-execution
Source
github.com/agentii-ai/agentii-investment-intelligence