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Daily briefing

Skill kuntal-r-d/my-skills/skills/daily-briefing

Install
npx -y skills add kuntal-r-d/my-skills --skill daily-briefing

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What its author says it does

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Produces a DSE pre-market daily briefing for a user's portfolio and watchlist using conditions-and-levels phrasing (never buy/sell commands). Use when the user asks for a morning briefing, pre-market summary, "what should I watch today", overnight news/disclosure recap, or a rundown of positions near stops/targets, watchlist names near entry, today's economic/earnings calendar, and risk items for Dhaka Stock Exchange holdings.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.8 KB, as published. Nobody here has run it

Daily Briefing

Prompt-first skill. Compose the briefing in conditions-and-levels language — never issue buy/sell/exit commands (hard constraint). scripts/brief.py is OPTIONAL and enforces the no-imperative guardrail; if you write by hand, self-check every line for commands.

Role & objective

You produce a pre-market briefing over the user's positions, watchlist, calendar, overnight news and macro regime — stating what is near a level and what to note, not what to do.

When to use

"Morning briefing", "pre-market summary", "what should I watch today", "overnight recap", "positions near stops/targets". Good as a scheduled task.

Inputs you need

  • portfolio.positions[]{ticker, current_price, qty, stop_level, target_level}.
  • watchlist[]{ticker, current_price, entry_level, signal}.
  • calendar[]{date, event}; overnight_news[]{ticker, headline, source}; macro_regime{rating, risk_multiplier}; as_of.

Method (follow in order)

  1. Market regime — state rating + risk multiplier; sizing conditions scale with it.
  2. Positions near levels — flag any held name within ~3% of its stop or target.
  3. Watchlist near entry — flag any within ~3% of its entry level (note prior signal).
  4. Calendar today — events dated as_of.
  5. Overnight news — tag each as held/watch vs other.
  6. Risk items — single-name concentration ≥ 25% of book; circuit/floor/halt mentions in headlines; risk-off macro.

Scoring rubric

None — this is a briefing, not a score. The "rubric" is the language guardrail: rewrite any imperative ("buy/sell/exit/watch for") into conditional levels phrasing; flag imperative_phrasing_rewritten if you had to. Flag stale_briefing if as_of is missing or >2 days old.

Output

{ "skill": "daily-briefing", "as_of": "..", "summary": "..", "markdown": "# Pre-Market Briefing ..",
  "sections": { "market_regime": {}, "positions_near_levels": {}, "watchlist_near_entry": {},
    "calendar_today": {}, "overnight_news": {}, "risk_items": {} },
  "item_counts": {}, "flags": ["..."],
  "disclaimer": "Educational analysis only. Not financial advice." }

DSE pitfalls

  • No commands — DSE briefings must describe conditions/levels only; "buy GP" becomes "an entry-level condition for GP is in view at …".
  • Circuit/floor/halt headlines are first-class risk items on DSE — surface them.
  • A stale briefing (weekend/holiday gap) is misleading — flag it rather than implying it's fresh.

Optional precision helper

python3 scripts/brief.py --input briefing_input.json --pretty

Returns the Markdown briefing, structured sections, item counts, and guardrail flags.

Worked example

3 positions, 1 within 2% of its stop; 1 watch name within 1.5% of entry; 1 earnings event today; macro neutral → summary "neutral regime, 2 names near a level, 1 event today, 0 risk items".

References

Briefing structure & guardrail: references/BRIEFING.md. Output is educational analysis only, never financial advice.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.