Finta Performance Tuning

What it does

When your agent uses it

• With phrases like finta performance
• Finta efficiency

Example prompts

• “finta performance”
• “finta efficiency”
• “optimize finta”
• “/finta-performance-tuning”

Requirements

• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Grep

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Measure one bottleneck at a time: pagination, cache misses, queue depth, or destination latency.
2. 2Set bounded concurrency and exponential backoff before increasing throughput; respect provider responses rather than assuming a rate limit.
3. 3Cache only data that is permitted to persist and define invalidation on the write path; do not trade data isolation for a higher hit rate.
4. 4Roll out a small canary, compare redacted metrics against the baseline, and revert if error rate, staleness, or queue age breaches the…
5. 5Record the observed result and owner so the tuning change can be reviewed or removed later.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Grep

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • trustfinta.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Finta Performance Tuning loads about 1.4k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~39

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 452 words, ~1,418 tokens.

name

finta-performance-tuning

description

Optimize Finta fundraise workflow efficiency. Trigger with phrases like "finta performance", "finta efficiency", "optimize finta".

allowed-tools

Read, Grep

compatibility

Designed for Claude Code

version

1.7.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, fundraising-crm, investor-management, finta

const cache = new Map<string, { data: any; expiry: number }>();
const TTL = { investors: 600_000, rounds: 300_000, pipeline: 120_000 };

async function cached(key: string, ttlKey: keyof typeof TTL, fn: () => Promise<any>) {
  const entry = cache.get(key);
  if (entry && entry.expiry > Date.now()) return entry.data;
  const data = await fn();
  cache.set(key, { data, expiry: Date.now() + TTL[ttlKey] });
  return data;
}
// Investor profiles change rarely (10 min). Pipeline stages are volatile (2 min).

async function syncInvestorsBatch(client: any, cursor?: string, pageSize = 100) {
  const allInvestors = [];
  let nextCursor = cursor;
  do {
    const page = await client.listInvestors({ cursor: nextCursor, limit: pageSize });
    allInvestors.push(...page.data);
    nextCursor = page.next_cursor;
    if (nextCursor) await new Promise(r => setTimeout(r, 200));
  } while (nextCursor);
  return allInvestors;
}

import { Agent } from 'https';
const agent = new Agent({ keepAlive: true, maxSockets: 8, maxFreeSockets: 4, timeout: 30_000 });
// Finta API calls are lightweight — moderate socket count suffices

async function withRateLimit(fn: () => Promise<any>): Promise<any> {
  const res = await fn();
  const remaining = parseInt(res.headers?.['x-ratelimit-remaining'] || '50');
  if (remaining < 3) {
    const resetMs = parseInt(res.headers?.['x-ratelimit-reset'] || '5') * 1000;
    await new Promise(r => setTimeout(r, resetMs));
  }
  return res;
}

const metrics = { apiCalls: 0, cacheHits: 0, syncErrors: 0, avgLatencyMs: 0 };
function track(startMs: number, cached: boolean, error?: boolean) {
  metrics.apiCalls++;
  metrics.avgLatencyMs = (metrics.avgLatencyMs * (metrics.apiCalls - 1) + (Date.now() - startMs)) / metrics.apiCalls;
  if (cached) metrics.cacheHits++; if (error) metrics.syncErrors++;
}

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/finta-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287